good afternoon everyone and thank you for inviting me
for inviting me
for inviting me I’m a cabinet
I’m a cabinet
I’m a cabinet so I use computers to solve by the
so I use computers to solve by the
so I use computers to solve by the and every summer I spend some amount of
and every summer I spend some amount of
and every summer I spend some amount of time with very bright high school
time with very bright high school
time with very bright high school students to show them how to use
students to show them how to use
students to show them how to use computers close up earlier times now you
computers close up earlier times now you
computers close up earlier times now you are probably wondering do computers and
are probably wondering do computers and
are probably wondering do computers and biology mix together when I was a
biology mix together when I was a
biology mix together when I was a theorist in high school I had no idea
theorist in high school I had no idea
theorist in high school I had no idea they would go together in fact I had a
they would go together in fact I had a
they would go together in fact I had a very big decision to make at that time
very big decision to make at that time
very big decision to make at that time my parents were both doctors so they
my parents were both doctors so they
my parents were both doctors so they encouraged me to be doctor but I did
encouraged me to be doctor but I did
encouraged me to be doctor but I did really love math I went into Germany and
really love math I went into Germany and
really love math I went into Germany and India being a part of India team in the
India being a part of India team in the
India being a part of India team in the international match again so I followed
international match again so I followed
international match again so I followed my passion and wanted to be for do math
my passion and wanted to be for do math
my passion and wanted to be for do math and computer science and then later on
and computer science and then later on
and computer science and then later on after a knock-back pact that in trade to
after a knock-back pact that in trade to
after a knock-back pact that in trade to South America I somehow got convinced
South America I somehow got convinced
South America I somehow got convinced that biology is interesting and that was
that biology is interesting and that was
that biology is interesting and that was not adopted
not adopted
not adopted I spent my PhD and everything else so
I spent my PhD and everything else so
I spent my PhD and everything else so that’s how I got into biology but there
that’s how I got into biology but there
that’s how I got into biology but there is good news for you today if you are
is good news for you today if you are
is good news for you today if you are faced with a similar decision you can do
faced with a similar decision you can do
faced with a similar decision you can do not have to choose back or wireless you
not have to choose back or wireless you
not have to choose back or wireless you can choose both because of a
can choose both because of a
can choose both because of a technological revolution the world of
technological revolution the world of
technological revolution the world of computer science and God as he are
computer science and God as he are
computer science and God as he are coming
coming
coming so the computer scientists of today I’m
so the computer scientists of today I’m
so the computer scientists of today I’m finding their most inspiring problems in
finding their most inspiring problems in
finding their most inspiring problems in biology whereas the doctors of today are
biology whereas the doctors of today are
biology whereas the doctors of today are using more and more computer algorithms
using more and more computer algorithms
using more and more computer algorithms to solve their problems rather than dr.
to solve their problems rather than dr.
to solve their problems rather than dr. I should say medical researches and
I should say medical researches and
I should say medical researches and that’s quite turning out to be quite
that’s quite turning out to be quite
that’s quite turning out to be quite fascinating world but it the technology
fascinating world but it the technology
fascinating world but it the technology at the core of this revolution is DNA
at the core of this revolution is DNA
at the core of this revolution is DNA sequencing conceptually you can think of
sequencing conceptually you can think of
sequencing conceptually you can think of a DNA sequencer as a microscope which
a DNA sequencer as a microscope which
a DNA sequencer as a microscope which instead of giving your images gives a
instead of giving your images gives a
instead of giving your images gives a GGG all these little characters let’s
GGG all these little characters let’s
GGG all these little characters let’s say you take dirt from here of the floor
say you take dirt from here of the floor
say you take dirt from here of the floor there must be some paving materials and
there must be some paving materials and
there must be some paving materials and you get some eddy zzzzz and then you are
you get some eddy zzzzz and then you are
you get some eddy zzzzz and then you are going to need a sandwich or a fast-food
going to need a sandwich or a fast-food
going to need a sandwich or a fast-food joint in the sequencing machine and you
joint in the sequencing machine and you
joint in the sequencing machine and you get another batch of a tzzz
get another batch of a tzzz
get another batch of a tzzz now if your sandwich gives you this set
now if your sandwich gives you this set
now if your sandwich gives you this set of letters be very careful that’s not of
of letters be very careful that’s not of
of letters be very careful that’s not of the name that’s Ecoline so you better
the name that’s Ecoline so you better
the name that’s Ecoline so you better advice and throw it at it now how did I
advice and throw it at it now how did I
advice and throw it at it now how did I know that those letters are coming from
know that those letters are coming from
know that those letters are coming from equal ion how do you know well I googled
equal ion how do you know well I googled
equal ion how do you know well I googled them and you’re actually not Google but
them and you’re actually not Google but
them and you’re actually not Google but we have our special software that Texas
we have our special software that Texas
we have our special software that Texas king of a collection of letters and
king of a collection of letters and
king of a collection of letters and tells you that this is where it comes
tells you that this is where it comes
tells you that this is where it comes from and that’s where the
from and that’s where the
from and that’s where the scientist feeding they take these
scientist feeding they take these
scientist feeding they take these beggars that come out of these missions
beggars that come out of these missions
beggars that come out of these missions and then convert into different animals
and then convert into different animals
and then convert into different animals or living organisms and they pass the
or living organisms and they pass the
or living organisms and they pass the information to the balances so there is
information to the balances so there is
information to the balances so there is another way in the world of computer and
another way in the world of computer and
another way in the world of computer and one of sequencing are coming together
one of sequencing are coming together
one of sequencing are coming together the cost of both are falling you may or
the cost of both are falling you may or
the cost of both are falling you may or may not have heard of Moore’s law that’s
may not have heard of Moore’s law that’s
may not have heard of Moore’s law that’s the slope that’s showing how much the
the slope that’s showing how much the
the slope that’s showing how much the computer cost of computer is calling but
computer cost of computer is calling but
computer cost of computer is calling but you have seen its impact when I
you have seen its impact when I
you have seen its impact when I graduated after my PhD moved to
graduated after my PhD moved to
graduated after my PhD moved to California I but this huge piece of
California I but this huge piece of
California I but this huge piece of furniture called the computer so there
furniture called the computer so there
furniture called the computer so there are two big movers came with two boxes
are two big movers came with two boxes
are two big movers came with two boxes one was computer one was the monitor I
one was computer one was the monitor I
one was computer one was the monitor I had to get a quite stable table to get
had to get a quite stable table to get
had to get a quite stable table to get them together five years later I got a
them together five years later I got a
them together five years later I got a laptop my computer home to my bed
laptop my computer home to my bed
laptop my computer home to my bed another five years we have this iPhone
another five years we have this iPhone
another five years we have this iPhone computer moves to the pocket and in
computer moves to the pocket and in
computer moves to the pocket and in terms of application you can see the
terms of application you can see the
terms of application you can see the tiny eye or can do a lot of things it
tiny eye or can do a lot of things it
tiny eye or can do a lot of things it can you can play music with it you can
can you can play music with it you can
can you can play music with it you can call it cat you can see maps with text
call it cat you can see maps with text
call it cat you can see maps with text friends and after all this if you have
friends and after all this if you have
friends and after all this if you have batteries left maybe you can call your
batteries left maybe you can call your
batteries left maybe you can call your grandma because it’s after all a phone
grandma because it’s after all a phone
grandma because it’s after all a phone now what does the sequencing machine do
now what does the sequencing machine do
now what does the sequencing machine do when the Christ browser here is the clue
when the Christ browser here is the clue
when the Christ browser here is the clue it’s a kind of microscope so you can
it’s a kind of microscope so you can
it’s a kind of microscope so you can take it anywhere and then figure out
take it anywhere and then figure out
take it anywhere and then figure out what kind of materials are there what
what kind of materials are there what
what kind of materials are there what kind of living organisms out there and
kind of living organisms out there and
kind of living organisms out there and the living organism the kind of living
the living organism the kind of living
the living organism the kind of living organisms you can try and solve the
organisms you can try and solve the
organisms you can try and solve the problems are very very fast the living
problems are very very fast the living
problems are very very fast the living world is being fast beautiful and full
world is being fast beautiful and full
world is being fast beautiful and full of mysteries so you can use the
of mysteries so you can use the
of mysteries so you can use the sequencing machine to either take on a
sequencing machine to either take on a
sequencing machine to either take on a backpacking trip you know to take
backpacking trip you know to take
backpacking trip you know to take conditioning but you can example from
conditioning but you can example from
conditioning but you can example from your back packing tape or you can solve
your back packing tape or you can solve
your back packing tape or you can solve problems in medicine you can go
problems in medicine you can go
problems in medicine you can go underwater and you can do all kinds of
underwater and you can do all kinds of
underwater and you can do all kinds of solve all kinds of problems I chose
solve all kinds of problems I chose
solve all kinds of problems I chose about four or five examples to show how
about four or five examples to show how
about four or five examples to show how versatile these technologies okay I
versatile these technologies okay I
versatile these technologies okay I spent a number of puns in hospitals in
spent a number of puns in hospitals in
spent a number of puns in hospitals in India because of a family lism and if
India because of a family lism and if
India because of a family lism and if you ask me what’s the biggest medical
you ask me what’s the biggest medical
you ask me what’s the biggest medical problem facing the world
problem facing the world
problem facing the world it’s not cancer or heart disease or even
it’s not cancer or heart disease or even
it’s not cancer or heart disease or even millennia it’s kind of bugs that are
millennia it’s kind of bugs that are
millennia it’s kind of bugs that are growing in the hospitals in India so
growing in the hospitals in India so
growing in the hospitals in India so what’s going on is the antibiotics have
what’s going on is the antibiotics have
what’s going on is the antibiotics have become very cheap so the doctors there
become very cheap so the doctors there
become very cheap so the doctors there you
you
you see the cockles of chat Americans and in
see the cockles of chat Americans and in
see the cockles of chat Americans and in the meanwhile we haven’t discovered too
the meanwhile we haven’t discovered too
the meanwhile we haven’t discovered too many advantages over the last few years
many advantages over the last few years
many advantages over the last few years but the bacteria’s have gone become much
but the bacteria’s have gone become much
but the bacteria’s have gone become much smarter so they have learned to event
smarter so they have learned to event
smarter so they have learned to event that divided and then now we have this
that divided and then now we have this
that divided and then now we have this bacteria that cannot be killed with any
bacteria that cannot be killed with any
bacteria that cannot be killed with any antibody I was reading a story in the
antibody I was reading a story in the
antibody I was reading a story in the newspaper this is just listen from last
newspaper this is just listen from last
newspaper this is just listen from last month lady in never going to the
month lady in never going to the
month lady in never going to the hospital and none of the 26 antibiotics
hospital and none of the 26 antibiotics
hospital and none of the 26 antibiotics the the hospital had guard maybe the
the the hospital had guard maybe the
the the hospital had guard maybe the whole medical industry has worked on her
whole medical industry has worked on her
whole medical industry has worked on her and I checked her history she went to
and I checked her history she went to
and I checked her history she went to India she was hospitalized in India and
India she was hospitalized in India and
India she was hospitalized in India and then came back so nothing work she does
then came back so nothing work she does
then came back so nothing work she does and this antibody list and bacteria are
and this antibody list and bacteria are
and this antibody list and bacteria are growing heavier in Indian hospitals and
growing heavier in Indian hospitals and
growing heavier in Indian hospitals and they don’t get Lisa they cannot be
they don’t get Lisa they cannot be
they don’t get Lisa they cannot be stopped by a wall
stopped by a wall
stopped by a wall they’re coming clearance so if any
they’re coming clearance so if any
they’re coming clearance so if any worried but one way to detect them is to
worried but one way to detect them is to
worried but one way to detect them is to use this new sequencing machine because
use this new sequencing machine because
use this new sequencing machine because think of it this bacteria have only a
think of it this bacteria have only a
think of it this bacteria have only a small parts maybe four or five later
small parts maybe four or five later
small parts maybe four or five later and just by changing those few layers in
and just by changing those few layers in
and just by changing those few layers in their DNA they can even the ante values
their DNA they can even the ante values
their DNA they can even the ante values so by using just the microscope the
so by using just the microscope the
so by using just the microscope the regular microscope you cannot identify
regular microscope you cannot identify
regular microscope you cannot identify that they look the same as the regular
that they look the same as the regular
that they look the same as the regular bacteria this new technology will be
bacteria this new technology will be
bacteria this new technology will be able to identify them and then comes the
able to identify them and then comes the
able to identify them and then comes the other side we may be able to find new
other side we may be able to find new
other side we may be able to find new antibodies because the antibiotics come
antibodies because the antibiotics come
antibodies because the antibiotics come from another set of good bacteria so
from another set of good bacteria so
from another set of good bacteria so there are lots of this is going on to
there are lots of this is going on to
there are lots of this is going on to find this cluster of antibodies or
find this cluster of antibodies or
find this cluster of antibodies or bitter pesticides find cluster of
bitter pesticides find cluster of
bitter pesticides find cluster of antibodies from all the bacteria people
antibodies from all the bacteria people
antibodies from all the bacteria people have sequence to know about potential
have sequence to know about potential
have sequence to know about potential solution okay so let’s say you are not
solution okay so let’s say you are not
solution okay so let’s say you are not that interested in spending your time in
that interested in spending your time in
that interested in spending your time in hospitals you love traveling
hospitals you love traveling
hospitals you love traveling now think of traveling why to each other
now think of traveling why to each other
now think of traveling why to each other week I want to get stories they come
week I want to get stories they come
week I want to get stories they come back and tell our friends how we saw
back and tell our friends how we saw
back and tell our friends how we saw these exotic people or what not and you
these exotic people or what not and you
these exotic people or what not and you become famous among friends the one of
become famous among friends the one of
become famous among friends the one of the earliest European traveler who
the earliest European traveler who
the earliest European traveler who became very famous was Marco Polo he’s
became very famous was Marco Polo he’s
became very famous was Marco Polo he’s thrown such a good story even 1000ps our
thrown such a good story even 1000ps our
thrown such a good story even 1000ps our 800 years later we know his name
800 years later we know his name
800 years later we know his name Marco Polo note that people the
Marco Polo note that people the
Marco Polo note that people the different culture went to China
different culture went to China
different culture went to China in India and about 200 or 300 years we
in India and about 200 or 300 years we
in India and about 200 or 300 years we adjusted telling stories about people
adjusted telling stories about people
adjusted telling stories about people then the travel has started to look at
then the travel has started to look at
then the travel has started to look at the different animals and other things
the different animals and other things
the different animals and other things so in 1750s Lena is for sweaty sports
so in 1750s Lena is for sweaty sports
so in 1750s Lena is for sweaty sports scientists took it made a collection of
scientists took it made a collection of
scientists took it made a collection of all the living big organisms that are on
all the living big organisms that are on
all the living big organisms that are on the world here this whole group of
the world here this whole group of
the world here this whole group of people going out there’s captain who
people going out there’s captain who
people going out there’s captain who flew into Australia and how the
flew into Australia and how the
flew into Australia and how the information so everything was collected
information so everything was collected
information so everything was collected in his group by 1700 1800 we exhausted
in his group by 1700 1800 we exhausted
in his group by 1700 1800 we exhausted all the big things and then the violence
all the big things and then the violence
all the big things and then the violence started to look for small things is the
started to look for small things is the
started to look for small things is the same idea come and tell or the stories
same idea come and tell or the stories
same idea come and tell or the stories about what kind of people you saw in an
about what kind of people you saw in an
about what kind of people you saw in an exotic place somehow the way we travel
exotic place somehow the way we travel
exotic place somehow the way we travel and tell stories and the way violence is
and tell stories and the way violence is
and tell stories and the way violence is think that what we use to call the
think that what we use to call the
think that what we use to call the naturalism and there’s a lot of
naturalism and there’s a lot of
naturalism and there’s a lot of similarity so the necessaries naturalist
similarity so the necessaries naturalist
similarity so the necessaries naturalist collected is brittle and darling was one
collected is brittle and darling was one
collected is brittle and darling was one of them
of them
of them mother bleep beetle collector so by
mother bleep beetle collector so by
mother bleep beetle collector so by making 19th century we collected all the
making 19th century we collected all the
making 19th century we collected all the beetles and bugs then time violence
beetles and bugs then time violence
beetles and bugs then time violence started to look for thanks through the
started to look for thanks through the
started to look for thanks through the microscope but that they can find
microscope but that they can find
microscope but that they can find observing things now we are in the neck
observing things now we are in the neck
observing things now we are in the neck 20th and 21st century is it too late to
20th and 21st century is it too late to
20th and 21st century is it too late to find anything new the answer is no there
find anything new the answer is no there
find anything new the answer is no there was a scientist in around Dianetics
was a scientist in around Dianetics
was a scientist in around Dianetics 1980s he looked around the to scientist
1980s he looked around the to scientist
1980s he looked around the to scientist Katya Illinois are going to champagne
Katya Illinois are going to champagne
Katya Illinois are going to champagne they look around all the microorganisms
they look around all the microorganisms
they look around all the microorganisms using this new microscope that I
using this new microscope that I
using this new microscope that I colleague that he was sequencing and
colleague that he was sequencing and
colleague that he was sequencing and computer algorithm and found that there
computer algorithm and found that there
computer algorithm and found that there is an entire class of organisms that we
is an entire class of organisms that we
is an entire class of organisms that we never knew about so think about the way
never knew about so think about the way
never knew about so think about the way we think of this microscopic was there
we think of this microscopic was there
we think of this microscopic was there these asked which are big and there are
these asked which are big and there are
these asked which are big and there are these jumps your mama often tells your I
these jumps your mama often tells your I
these jumps your mama often tells your I mean maybe not here but in India are
mean maybe not here but in India are
mean maybe not here but in India are boxes always boil your water because
boxes always boil your water because
boxes always boil your water because that’s how the germs died now that’s the
that’s how the germs died now that’s the
that’s how the germs died now that’s the big ones – UK and the small ones are hot
big ones – UK and the small ones are hot
big ones – UK and the small ones are hot bacteria and then this guys found out
bacteria and then this guys found out
bacteria and then this guys found out that there is an entire class who really
that there is an entire class who really
that there is an entire class who really love boiling water
love boiling water
love boiling water that’s the archaea they’re giving these
that’s the archaea they’re giving these
that’s the archaea they’re giving these hot strains in Yellowstone and all of
hot strains in Yellowstone and all of
hot strains in Yellowstone and all of the NASA’s maximal national parts so if
the NASA’s maximal national parts so if
the NASA’s maximal national parts so if you really like traveling maybe to
you really like traveling maybe to
you really like traveling maybe to Yellowstone National Park looking for
Yellowstone National Park looking for
Yellowstone National Park looking for archaea could be a
archaea could be a
archaea could be a possibly and as I said they are first
possibly and as I said they are first
possibly and as I said they are first found I found out by using this new
found I found out by using this new
found I found out by using this new technology of sequencing now you are
technology of sequencing now you are
technology of sequencing now you are thinking that oh I care so his LIF that
thinking that oh I care so his LIF that
thinking that oh I care so his LIF that only fits for viola discarding
only fits for viola discarding
only fits for viola discarding previously listen but that’s not true
previously listen but that’s not true
previously listen but that’s not true there was a glucoside matenda in big and
there was a glucoside matenda in big and
there was a glucoside matenda in big and the source of new discovery a
the source of new discovery a
the source of new discovery a revolutionary new discovery on which the
revolutionary new discovery on which the
revolutionary new discovery on which the two big universes are now fighting for
two big universes are now fighting for
two big universes are now fighting for better
better
better it’s called CRISPR and it all started
it’s called CRISPR and it all started
it’s called CRISPR and it all started because a scientist named Francisco
because a scientist named Francisco
because a scientist named Francisco Mojica he was in Spain and started
Mojica he was in Spain and started
Mojica he was in Spain and started looking into the genomes of bacteria the
looking into the genomes of bacteria the
looking into the genomes of bacteria the to the anisa presenter , and he found
to the anisa presenter , and he found
to the anisa presenter , and he found out a very strange pattern there was a
out a very strange pattern there was a
out a very strange pattern there was a part of the genome of bacteria it meant
part of the genome of bacteria it meant
part of the genome of bacteria it meant a virus is factory and virus are always
a virus is factory and virus are always
a virus is factory and virus are always fighting each other but there is no
fighting each other but there is no
fighting each other but there is no reason you’ll find the pattern from
reason you’ll find the pattern from
reason you’ll find the pattern from that is kind of like going to Japan and
that is kind of like going to Japan and
that is kind of like going to Japan and opening up 15th century text and finding
opening up 15th century text and finding
opening up 15th century text and finding out Shakespeare’s writing they are so
out Shakespeare’s writing they are so
out Shakespeare’s writing they are so part of it there is no reason to find
part of it there is no reason to find
part of it there is no reason to find unique similar but he found them and
unique similar but he found them and
unique similar but he found them and then he spent 10 years and this is the
then he spent 10 years and this is the
then he spent 10 years and this is the end the lesson was to find out that this
end the lesson was to find out that this
end the lesson was to find out that this bacteria which if I part here with with
bacteria which if I part here with with
bacteria which if I part here with with heart are very rarely done and actually
heart are very rarely done and actually
heart are very rarely done and actually quite smart they have this adaptive game
quite smart they have this adaptive game
quite smart they have this adaptive game system just like us and using that
system just like us and using that
system just like us and using that component of the email system now
component of the email system now
component of the email system now violence and your diseases improvement
violence and your diseases improvement
violence and your diseases improvement so what happened it’s kind of irony that
so what happened it’s kind of irony that
so what happened it’s kind of irony that think that this balance the archaea
think that this balance the archaea
think that this balance the archaea bacteria infected now two scientists
bacteria infected now two scientists
bacteria infected now two scientists from Berkeley and broadly speaking
from Berkeley and broadly speaking
from Berkeley and broadly speaking Harvard are fighting about the patent
Harvard are fighting about the patent
Harvard are fighting about the patent time so it’s invented by the bacteria
time so it’s invented by the bacteria
time so it’s invented by the bacteria archaea we are trying to find out
archaea we are trying to find out
archaea we are trying to find out humans are falling inventors to use it
humans are falling inventors to use it
humans are falling inventors to use it as medicine this is one of my one
as medicine this is one of my one
as medicine this is one of my one project with a large group of
project with a large group of
project with a large group of collaborators when Darwin was living he
collaborators when Darwin was living he
collaborators when Darwin was living he did not know about art here but that
did not know about art here but that
did not know about art here but that doesn’t mean he did not have anything
doesn’t mean he did not have anything
doesn’t mean he did not have anything complex to work on in his book he wrote
complex to work on in his book he wrote
complex to work on in his book he wrote that this is Hellenic fish they live in
that this is Hellenic fish they live in
that this is Hellenic fish they live in Emerson and they give me little shocked
Emerson and they give me little shocked
Emerson and they give me little shocked few tasks that we know that this fish
few tasks that we know that this fish
few tasks that we know that this fish give special difficulty to his theory of
give special difficulty to his theory of
give special difficulty to his theory of evolution then this is one of the few
evolution then this is one of the few
evolution then this is one of the few cases that can prove
cases that can prove
cases that can prove wrong but after 100 years of Darwin died
wrong but after 100 years of Darwin died
wrong but after 100 years of Darwin died there is a group of scientists who work
there is a group of scientists who work
there is a group of scientists who work for the Olympic fish and found out that
for the Olympic fish and found out that
for the Olympic fish and found out that they use their electric signal to
they use their electric signal to
they use their electric signal to communicate so this is like a sixth
communicate so this is like a sixth
communicate so this is like a sixth sense in apart from the five senses that
sense in apart from the five senses that
sense in apart from the five senses that I have they can communicate and then it
I have they can communicate and then it
I have they can communicate and then it took another 50 years before we after at
took another 50 years before we after at
took another 50 years before we after at that point when we as a big
that point when we as a big
that point when we as a big collaboration started to look into the
collaboration started to look into the
collaboration started to look into the obscene ohm of the electric fish and the
obscene ohm of the electric fish and the
obscene ohm of the electric fish and the same thing with our use the new
same thing with our use the new
same thing with our use the new sequencing technology and computer
sequencing technology and computer
sequencing technology and computer programs to figure out how this whole
programs to figure out how this whole
programs to figure out how this whole electric organ and liquid passing
electric organ and liquid passing
electric organ and liquid passing electricity once we found out you have
electricity once we found out you have
electricity once we found out you have not only found out we are still working
not only found out we are still working
not only found out we are still working on it we found out these chemicals the
on it we found out these chemicals the
on it we found out these chemicals the proteins and genes inside the body of
proteins and genes inside the body of
proteins and genes inside the body of energy fish which are helpful in living
energy fish which are helpful in living
energy fish which are helpful in living special property so that’s not an
special property so that’s not an
special property so that’s not an example and this example is quite
example and this example is quite
example and this example is quite personal to me because when my son was
personal to me because when my son was
personal to me because when my son was born that was in California my before my
born that was in California my before my
born that was in California my before my son was born we went to the hospital for
son was born we went to the hospital for
son was born we went to the hospital for a bedroom in genetic test and the doctor
a bedroom in genetic test and the doctor
a bedroom in genetic test and the doctor said oh there is something wrong with
said oh there is something wrong with
said oh there is something wrong with the test result you should come and we
the test result you should come and we
the test result you should come and we went to keep the genetic counselor maybe
went to keep the genetic counselor maybe
went to keep the genetic counselor maybe the case I say that you can have
the case I say that you can have
the case I say that you can have bouncing with a good face for it and the
bouncing with a good face for it and the
bouncing with a good face for it and the doctor said you need to do another test
doctor said you need to do another test
doctor said you need to do another test called and your sentence is to find out
called and your sentence is to find out
called and your sentence is to find out about it’s invasive case so I sat down
about it’s invasive case so I sat down
about it’s invasive case so I sat down with the results and also the Opera
with the results and also the Opera
with the results and also the Opera thing I could find out how that is
thing I could find out how that is
thing I could find out how that is I found them the not the chances of the
I found them the not the chances of the
I found them the not the chances of the first days getting wrong was more than
first days getting wrong was more than
first days getting wrong was more than the damage that can be done done by the
the damage that can be done done by the
the damage that can be done done by the second place so I decided no I don’t
second place so I decided no I don’t
second place so I decided no I don’t want to have this mu asceticism which
want to have this mu asceticism which
want to have this mu asceticism which was in basic taste and had to spend next
was in basic taste and had to spend next
was in basic taste and had to spend next six months being or and what will happen
six months being or and what will happen
six months being or and what will happen to my son he came out to be okay but
to my son he came out to be okay but
to my son he came out to be okay but today the scientists have come up with
today the scientists have come up with
today the scientists have come up with is non-invasive it’s it’s the same
is non-invasive it’s it’s the same
is non-invasive it’s it’s the same across it but what happens is the blood
across it but what happens is the blood
across it but what happens is the blood from the day next into the the blood and
from the day next into the the blood and
from the day next into the the blood and DNA samples from the daily fix into
DNA samples from the daily fix into
DNA samples from the daily fix into mom’s blood so the doctors can take
mom’s blood so the doctors can take
mom’s blood so the doctors can take mom’s blood and sequence it and find out
mom’s blood and sequence it and find out
mom’s blood and sequence it and find out what the DNA of the Cape will look like
what the DNA of the Cape will look like
what the DNA of the Cape will look like it’s completely non-invasive there is no
it’s completely non-invasive there is no
it’s completely non-invasive there is no risk involved and this is one of the
risk involved and this is one of the
risk involved and this is one of the this is going on in Universal Washington
this is going on in Universal Washington
this is going on in Universal Washington and I saw another paper just recently
and I saw another paper just recently
and I saw another paper just recently where it says if they can find within
where it says if they can find within
where it says if they can find within five Queens what the baby is going to be
five Queens what the baby is going to be
five Queens what the baby is going to be like Connecticut will see so that’s
like Connecticut will see so that’s
like Connecticut will see so that’s another quite exciting weather so I am
another quite exciting weather so I am
another quite exciting weather so I am covered a lot of things are it’s only a
covered a lot of things are it’s only a
covered a lot of things are it’s only a small subset of the different
small subset of the different
small subset of the different applications the balance that thinking
applications the balance that thinking
applications the balance that thinking of using this new technology so you can
of using this new technology so you can
of using this new technology so you can see that with this new technology the
see that with this new technology the
see that with this new technology the future of biology and medicine are
future of biology and medicine are
future of biology and medicine are changing
changing
changing maybe but nothing of future is the
maybe but nothing of future is the
maybe but nothing of future is the future is not complete with the people
future is not complete with the people
future is not complete with the people who are going to be there thus the young
who are going to be there thus the young
who are going to be there thus the young generation so what happened was I
generation so what happened was I
generation so what happened was I thought about the way the college truest
thought about the way the college truest
thought about the way the college truest high-school students are learning by the
high-school students are learning by the
high-school students are learning by the devices what’s going on in the college
devices what’s going on in the college
devices what’s going on in the college in the advanced business and everything
in the advanced business and everything
in the advanced business and everything is changing so fast that the path the
is changing so fast that the path the
is changing so fast that the path the college stood at the high school
college stood at the high school
college stood at the high school students were not catching up so I
students were not catching up so I
students were not catching up so I started is coding for medicine program
started is coding for medicine program
started is coding for medicine program where we spent time with the high school
where we spent time with the high school
where we spent time with the high school students and teach them about these
students and teach them about these
students and teach them about these different applications and this whole
different applications and this whole
different applications and this whole new technology that is coming up and
new technology that is coming up and
new technology that is coming up and even if you’re not creative whether you
even if you’re not creative whether you
even if you’re not creative whether you are part of this program or otherwise
are part of this program or otherwise
are part of this program or otherwise the good news is that all of this data
the good news is that all of this data
the good news is that all of this data are out in the public
are out in the public
are out in the public most of these genetic data from all
most of these genetic data from all
most of these genetic data from all organisms are publicly available all the
organisms are publicly available all the
organisms are publicly available all the programs are publicly whether the
programs are publicly whether the
programs are publicly whether the software programs so you can even do the
software programs so you can even do the
software programs so you can even do the same self learning and learn about this
same self learning and learn about this
same self learning and learn about this red neon future that the tentative
red neon future that the tentative
red neon future that the tentative future
future
future so with that thank you very much
so with that thank you very much
so with that thank you very much [Applause]
”
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