[MUSIC]
Welcome back to Gals,
I'm Christina a Senior Cloud
Developer Advocate here at
Microsoft.
And I'm joined today,
I'm so excited,
by one of my favorite people,
Paige Bailey.
>> Excellent, and
I am Paige Bailey,
also a Senior Cloud
Developer Advocate,
specializing in machine
learning and AI.
So I get to predict the future
with computers and with data.
>> I love it.
So
tell me what's gonna
happen in the future.
What's gonna happen in
the next 20 minutes?
>> What's going to happen
in the next 20 minutes?
We're going to have
an amazing time.
>> [LAUGH]
>> You're gonna ask me a lot of
questions that I'm going
to try my best to answer.
>> Okay, and what's gonna
happen in the next 20 years?
>> In the next 20 years,
well, I am not quite sure,
but hopefully that I have
no earthly idea, [LAUGH].
>> [LAUGH]
>> What's gonna happen in
the next 20 years?
>> Are the bots gonna take over?
Are we all going to be working
for computerized machines that
becomes intent, like is Skynet
going to become a reality?
That's really what I wanna know.
>> Well, Skynet,
if Skynet becomes a reality,
hopefully it's not
running on JavaScript.
>> Okay.
>> That's the only stipulation
that I have.
More than likely, though,
we're just going to have more
computers to do our bidding.
>> Okay.
>> So,
there will be better algorithms,
there will be a massive amount
of data, and a whole bunch
of new jobs will be created.
So, if anything, we'll just all
be the individual lords, and
ladies of our own fleet, and
feed them of
mechanical servants.
>> Okay.
>> Yeah.
>> All right.
I'm down with that.
All right, so
like a lot of the CDAs,
the content developer advocates
you're fairly new to Microsoft.
How long have you
been with Microsoft?
>> I've only been with
Microsoft for three months, so
I started on around August 1st.
And I've been kind of rapid
fire excitedly going off and
doing Microsoft
things since then.
>> So, what did you do
before you joined Microsoft?
>> I was a data scientist in
the energy industry for four and
a half years.
Prior to that I did about two
years of a stint as a GIS
technician and
that was a lot of fun.
So GIS is map making basically.
So I used an application
called ArcGIS
in order to make beautiful maps,
and
to do sort of geostatistical
analysis, sociology.
Sociology studies, and lots, and
lots of education work for
Rice University.
>> Okay, very cool.
>> Yeah.
>> You and I, when we first met,
I kind of heard a little bit
of background of your story,
and I really can't wait for
everybody else to hear it.
But in my first kind of take
away when I hear all this,
I'm like, that's a lot of math.
>> Yeah.
You mean geophysics.
>> Yeah, geophysics.
>> Okay, yeah, so
my undergrad was geophysics and
applied math.
So very, very focused
on sort of interpreting
the world through equations, and
using data to understand
what's happening around us.
And then I got into carbonate
geology for grad school.
And that's less math,
more statistics, but
still delightful.
So I guess, I've always just
had a passion for numbers.
I love not so
much the arithmetic part.
I think that everybody has
kind of struggled messing with
arithmetic.
But being able to see kind of
the world around you expressed
in equations is kind of nice.
It's very beautiful.
>> That's awesome.
So let's start,
let's go way back.
How did you first, kind of,
get interested, I guess in,
math and, by extension,
computers?
Or did one lead to the other,
like was it reverse?
>> Got you.
>> Well, actually let's go ahead
and take it back.
Where did you grow up?
>> I grew up in a tiny town
about half way between Dallas
and Waco, if we know any,
if we've got any Texans.
>> If we've got any Texans in
the audience between Dallas and
Waco, okay.
>> Dallas and Waco,
1,300 person town called Itasca.
>> Wow.
>> Yeah.
>> Super small.
>> Very small.
And when I was growing up.
>> There were more people
than that at my high school.
>> Absolutely, and it's 1,300
people, I was related to half of
them, and there were
just about as many cows.
So it's not exactly
the kinda location that's
a bustling technology
metropolis.
>> So how did you then get
into tech, or math, or
which came first, and
had it like that happen.
>> Got you.
So my mom rescued a computer
that was about to be thrown
away and it was an Apple II.
>> Nice.
>> Yes, so our library had
gotten an Apple II donated
by someone who had retired
to the countryside,
the idyllic countryside for
their final years.
And I got the computer.
The library couldn't figure
out how to make it work.
So we took it home, we hooked
it up, and that was my first
experience making text
adventure games on an Apple II.
>> How old were you?
>> I was, I want to say eight or
nine, so it was pretty young.
So you plugged in the Apple II,
and at that point, I mean,
I think, cuz you're young,
the Apple II was obsolete
at this point, right?
>> Absolutely.
>> But you've got like,
I guess, probably the five and
a quarter inch floppy disks,
right, the actual floppy disks.
Putting in them, and
then using Basic, maybe,
to do text adventure stuff,
is that what you were doing?
>> Basic, and the only way
I knew how to do it was,
because it stocked with all of
those floppies that you were
mentioning.
And also a couple of computer
manuals about how you would go
about creating
your own programs.
The funny thing is,
is that the person who
had donated the computer,
I believe he was an accountant,
or something of that nature.
So some of them were games,
like very few.
But others were just like,
I don't even know what
spreadsheet software, but
just collections of numbers, and
sort of accountant type things.
>> So you start building text
adventure games on your Apple II
and that was your only toy.
>> It was my only toy [LAUGH].
>> And so
you're in this small town,
did that really open up
your love of computers?
>> Absolutely,
it really is true.
If that's your only toy,
then that's what you become so
invested in.
And I worked hard, I saved up
as much money as I could, and
I convinced my mom to
purchase a Gateway,
whenever they got down to
$250 for a desktop computer.
So we pooled together our
resources, we purchased
a Gateway, and it came packed
with so much software.
So there was, gosh, there was
Myst, there was Gizmos and
Gadgets, there was
The Incredible Machine,
there was
Encarta World Encyclopedia, and
that is what I blame
my love of math on.
There's Grade Builder Algebra I,
Gizmos and Gadgets, and
The Incredible Machine.
>> Awesome, so
you're young and probably still
in elementary school, and
you're just loving
these math CD-ROMs.
What did your teachers think?
>> They were very
confused [LAUGH].
For the most part,
so I ended up doing
kind of accelerated coursework
throughout my elementary school.
And whenever I would finish my
assignments pretty early, they
would just either send me off to
the library, or they would just
give me sort of assignments for
the next grade level.
So it just kinda, like I said,
it meant that you move kind of
past the standard curriculum
a little bit earlier.
>> Yeah, but I mean,
I assumed they were happy, but
also very confused [LAUGH].
>> Did you start using computers
at school at any point?
Did you get any instruction
there, or was it mostly coming
from kind of learning your
own stuff along the way?
>> Right, so it mostly
learning our own stuff.
My school system unfortunately
didn't really have
a computer science program.
So we had kind of
the business applications,
situation, where you know here's
how you use Excel, and so
you use Word, and that was
very boring at the time.
But that was basically the only
computer experience I
did compete in UIL.
In Texas, again, for the Texans.
University Interscholastic
League.
So it's like academic
competitions.
But I competed in something
called calculator skills.
>> Okay.
>> Yeah, and for
that, I don't even know if
they have it anymore, but
you could build your own build
your own programs on a TI89.
>> Yeah, yeah.
>> Yeah, so that was.
>> I used to do that, yeah.
>> It was so cool, right?
And there are people who have
done like crazy things with it,
they've built out first
person shooter games.
>> I was gonna say, I remember,
cuz I'm older than you, and
I remember when
the TI 89 came out,
somebody created like
a version of Final Fantasy 7.
>> My God [LAUGH].
That's so cool.
>> And
it was actually fairly close.
It was mostly kind
of tech space, but
they did have graphics as much
as you could do on the 89.
>> That's really cool.
>> Cuz the 89 was a big step up
from the 83 and 86, which, yeah,
but that's so cool.
So yeah, so
you would build apps for
the calculator, that's so cool.
>> Because again,
only toy, right?
When your toys are limited,
you get really
invested in your toys.
>> Were you online
at this point?
Were you going on the Internet?
>> So I wasn't supposed to,
but Gateway,
I ended up playing Star Wars
Jedi Knight Dark Forces II and
Mysteries of the Sith, and they
had a multiplayer component.
So that was my first foray
into online experience,
was doing the multiplayer games.
And then also through that
people were tossing out links to
Wikipedia, and
those sorts of things.
So I learned about Wikipedia and
that was mind blown.
Project Gutenberg, mind blown.
Because all of these, even
though they were text files for
books it was just like, wow,
cuz my hometown didn't
have a library.
>> So this was really important,
this is where you got knowledge.
>> Absolutely.
>> So
you continued kind
of doing this,
where did you go to college?
Or what did you do after you
graduated from high school or
left high school?
>> Right, so my mom had
a stipulation that I stay in
Texas, and that I also pay for
university myself.
So I got a full scholarship
to go to Rice University
in Houston.
I went there for undergrad and
had a delightful experience, so.
>> Did you,
what did you major in?
Did you know based on,
I guess building programs and
doing all this math stuff,
was that kind of your focus
on what you wanted to do?
Or what did you want to study?
>> Right,
my entrance essay was about
computational neuroscience.
>> Dude.
>> Yeah, yeah.
>> Girl!
>> [INAUDIBLE] So that was.
>> Her college entrance
thing was on computational
neuroscience.
>> I had a lot of
passion around it,
especially in terms of
Alzheimer's research.
>> Yeah.
>> And so I sent it in, I got
really great feedback about it,
and I arrived at Rice.
The person, the entrance
coordinator tells me, hey,
that's great, but
we don't have a program in that.
So I was just kind of
crushed a little bit.
>> So
had you wanted to be a doctor?
Is that what you
though about doing or?
>> I mostly wanted to be a PhD,
but I think what everybody kind
of has super high expectations
when they're entering college.
And they're like, I'm going
to be a medical doctor and
also an academic doctor, and
I'm going to do all the things.
So I was hoping to do
computational neuroscience.
The closest thing Rice really
had was something called
cognitive sciences.
>> Okay.
>> Which was this beautiful
blend of linguistics and
psychology, and English, and
a little bit of
computer science.
So I started off doing that.
And while I was doing it, I took
a class in the Earth sciences
and introduction to geology
from this professor named
Adrian Lenardick, who is
the coolest guy in the world.
And that just kind of sparked a
love of geology and geophysics.
So I loved the computer science
aspect of cognitive sciences.
I loved the art sciences
course that I took and
I just kind of naturally-
>> You kind of found this
perfect fusion of the two.
>> Yeah.
>> And jumping forward a little
bit, we'll go back in a second.
But the cognitive sciences,
I mean that is really kind of
the basis of what we do with AI
and machine learning now, right?
>> Yeah, yeah.
>> So it's kinda funny that not
having that computational
neuroscience thing,
having to do cognitive
sciences instead.
In some ways maybe,
I don't know, I won't speak, but
worked out in some
ways perfectly.
Now the work that you're
doing now, which is so
cutting edge and so hot and
everybody wants more of it,
is like really in demand.
>> Yeah, absolutely.
And it was the coursework that
I took through that degree and
it was so eye opening.
And just in terms of how do
brains process information.
The philosophy of cognitive
science, what does it actually
mean to see a tree or
to define a tree or something.
It's wonderful.
>> That's really cool, so you do
the cognitive science and stuff.
You start loving kind of
your love of geology and
getting into that part of it.
And then you end up
doing work at Rice.
>> Yeah.
>> And then going
on to Chevron to do
the geophysics kind of analysis.
>> Yeah.
>> Stuff, right?
>> Yeah, so Chevron, I had
had three research internship
experiences as an undergrad.
So I went to the Laboratory for
Atmospheric and Space Physics
in Boulder, which was an NSF
sponsored research experience.
It was wonderful,
it was so nice,
studying lunar ultraviolet.
And then kind of doing
the same thing at
Southwest Research Institute
in San Antonio.
So studying lunar ultraviolet,
but
with a different NASA project.
And then I got
an internship at Chevron.
And so, as I'm sure you guys
know, so LASP was academic,
right, so university-sponsored.
SWRI was kind of like
private research facility and
Chevron was industry.
And if you look at
the paychecks for these guys,
Chevron was kind of-
>> Yeah, the energy company.
>> The winner [LAUGH].
>> Yeah, the oil industry's
gonna pay better, who knew?
>> So that was around
the $120 a barrel time, so-
>> Okay.
>> So
they were basically like, hey,
Paige Bailey, we would love to
have you come and program for
us after you graduate, and
also we'll pay for grad school.
And I was like, well,
okay, [LAUGH] that
speaks to my interests.
So that was Chevron.
And I did geophysical plugin
development and sort of
earth sciences application
stuff for a couple years.
Until they realized that what
I was doing was basically data
science and
they had a word for it now.
>> Yeah.
>> So I started being
called a data scientist around
my last two and a half years.
>> And you were going to grad
school at the same time?
>> Yeah.
>> And what did you
study in grad school?
>> Carbonate geology.
>> That's right, that's what you
said before, carbonate geology,
so that's what you've
been to grad school for.
And so at this point now,
like you said,
you have a proper word,
this data scientist thing.
And now obviously, everybody
wants to be a data scientist,
that's like one of
the hot career tracks.
Did that kind of surprise you,
was this kind of happenstance?
Did you get the idea that that
was going to be something
that would be really like
in demand, or was this-
>> No idea [LAUGH].
No idea, and also my entire
career trajectory has just kinda
been like, well, that's cool.
I'm gonna learn more
things about that.
>> I love it.
>> Yeah, maps are great,
programming is great.
I also really like hiking, so
let's learn more about rocks.
Those sorts of things.
And every department that I was
ever affiliated with was just
kind of like, that's crazy.
The geologists were just, why
are you learning things about
computers, that doesn't
make any sense.
And the computer people were why
are you learning things about
rocks, that makes zero sense.
>> And you're actually
though together they do.
Getting chocolate in my peanut
butter does make sense.
>> Absolutely, and
it's more delicious.
>> It is more delicious.
So let me ask you this, speaking
about kind of programming,
while you were in college and
maybe even grad school.
Were you obviously you were
taking some computer science
classes I assume to go along
with some of this stuff?
>> Some of them, yeah.
>> Or were you kind of exploring
on your own programming?
How was that,
what was that like?
>> It was mostly exploring
on my own, but with heavy,
heavy guidance from,
most of my friends were
computer science majors.
So they kept telling me about
all this cool stuff that they
were doing with Python, or with
MATLAB, or something like that.
And it was just always kind of,
it was magic to me, right.
You were using computers to do
things that would normally take
hours or days to complete.
And so my job as an undergrad
was a GIS technician.
And ArcGIS had a habit
around that time of being
kind of unstable, or at least
on the machine I was using.
So the only way
to really create the maps
was by scripting it out.
So you had to use ArcPy,
which is kind of
an embedded python library
developed by Ezery.
In order to create the maps,
to do the geo-processing, and
then to spit them back out.
So I basically automated my job,
and
I probably shouldn't say that.
>> No, you totally should,
because that's badass.
>> Yeah, well, thank you.
Just don't tell
the sociology department.
>> No, actually,
they'll mean if you're like this
is what students now
should be doing.
Automate your job, dudes.
>> Yeah, especially if the only
way around it is if your
application crashes and
you have to start over
from scratch each time.
>> Well, I mean, and
that's a terrible experience and
that doesn't make you
wanna continue to do more.
And if you're able to
be more efficient,
plus you're learning scripting.
So did you learn
Python in college or
were you learn that in high
school, how did that come about?
>> It was definitely in college.
So in high school I had no idea
that Python was a thing, I had
done text adventures with Basic,
I had been attempting to do some
other things in the terminal on
my gateway, but I'd never really
got super into programming
until I got to college, yeah.
>> Is Python your
favorite language?
>> Heck yeah.
Python is favorite language.
I've spent about
ten years with it.
R is very close second, though.
>> Yeah.
>> Primarily because of
the excellent
usability tools for
data manipulation that
Hadley Wiccoms created.
And the data visualization
is phenomenal too.
>> Python 2 or 3?
>> 3, definitely 3.
Sorry, Zed Shaw.
>> [LAUGH]
>> I love, but, yeah.
>> Actually, he was kind
of why I asked [LAUGH].
>> Yeah, yeah, yeah, excellent.
>> [LAUGH]
>> But, yeah, definitely 3.
And I think, so
I think Python 2 is even like,
not going to have
support after next year,
so we're gonna have a lot of
people with these historic shell
scripts that are like really
going to have a tough time.
>> That's kinda scary.
>> Yeah.
World's gonna end whenever
Python 2 loses support.
>> I mean people said
the same thing about Y2K.
>> This is true.
>> Cuz I mean they've said
the same thing about any
time anything moved forward.
This version of PHP
is moving forward.
>> Yeah.
>> And, yeah, it's fine.
Probably.
>> Yeah,
I found out today that or
last week I guess that Pearl
6 is now in existence and
that was in the works for
forever and always.
>> I and Pearl is one of the
first kind of languages I ever
really used, so
I feel bad saying this, but
I always forget that
Pearl is a thing.
>> Yeah, well, I mean-
>> I'm sorry, Pearl fans,
no disrespect at all.
But I do always forget
that it's a thing.
>> And it's so, Pearl is
the strangest thing to me.
Because you can just kinda
fumble away at the keyboard,
just type whatever you want,
and you'll get a response.
You'll get something back,
it's just probably
not what you wanted.
>> [LAUGH]
>> So you're at Chevron.
You're in grad school.
You're doing this
data science stuff.
How did that then lead
into a job at Microsoft?
>> Right, so I was working at
Chevron, doing very interesting
things, very interesting
data science projects.
But I was always kind of,
on nights and weekends,
going off and
I founded pilates in Houston.
I was speaking at conferences,
I was trying to give as
many workshops as possible.
I loved the sort of learning
about something and
then teaching others
how to do it situation.
And my job at Chevron was very
focused on having considerable
business impact and
those sorts of things, and
there wasn't much emphasis
on the outreach component.
And one day I was just kind of
looking at jobs and the good
developer advocate position
is kinda like, hey, Paige,
you wanna get paid for what
you do on nights and weekends?
And I was just like,
that makes zero sense.
>> [LAUGH]
>> You're basically paying me to
be a Paige.
>> Basically pay
me to be myself.
>> Yeah, and it-
>> So cool.
>> Yeah, so I applied.
I kind of, I think I contacted
every hiring decision maker
in the entire program,
and they invited me to come to
the campus for an on site and
since then I don't think
I've stopped smiling.
>> [LAUGH] That's cool.
One of the things we haven't
talked about a lot and
I'm actually really happy is
being a woman in tech hasn't
really come up much
in this conversation.
>> Right.
>> But
I'm sure that it is
part of your journey.
Do you think that, and I don't
know, because you grew up in
a really small town where your
one of the few people who use
a computers, one of the few
people programming, and
I have to match, because it's so
small that the nature of things.
Did you ever feel like you
shouldn't be doing the things
that you were doing
because of your gender?
Was that ever something that
was in the back of your mind?
Or did you just not care and
was nobody really paying
attention to that?
>> Right, so
gender definitely comes up.
Especially in small
town America, right?
Like if you're a boy,
you're gonna play football.
If you're a girl,
you're gonna be a cheerleader.
And that's It's
just the way it is.
>> Yeah.
>> And so you do those things.
I actually ended up
not really talking to
many people about computers
when I was growing up.
Not because of any sort
of underlying stigma.
But just because, like you said,
nobody was really using them.
>> Right.
>> So even if I had gone up to
someone and been like, hey,
I'm using a computer,
the feedback wouldn't have been,
that's weird, you're a girl.
The feedback would have
been that's weird, period.
So I never really thought much
about it being strange for
a woman to be interested
in computers.
And then Rice, Rice is
just such a weird bubble.
If you've ever seen
the movie Real Genius,
Pacific Tech, or whatever.
Rice is very,
very similar to that.
>> Okay, is there a big
popcorn explosion at the end?
>> The big popcorn explosion,
ice going around the halls,
people screaming in
the middle of finals,
all of that absolutely happened.
>> Cheers for Fear was playing
in the closing credits.
>> Absolutely, and
Chris Knight there was a guy
that looked exactly like him.
So I'm telling you,
Rice is as close to
Pacific Tech as you can get.
>> Cool.
>> So no body thought
it was really weird that I was
running around like Jordan,
building things-
>> Yeah.
>> Or speaking very
quickly about computers.
So I was just kind of fortunate.
>> Yeah, it's awesome.
>> Yeah.
>> But
when you do your outreach,
is that something you notice?
>> Absolutely.
>> Yeah,
I guess either the absence of or
maybe the uncomfortableness.
Is that something you try
to kind of maybe lift up?
Maybe talk a little
bit about that.
>> Absolutely.
So I think a lot of people
have grown up into similar
environments, right?
Where it's, they either start
a computer science course and
they're really enthusiastic
about it, but maybe some of
their peers have had more
experience with computers or
they're assumed to be sort of
more skilled or experienced,
because they're a man,
or whatever reason.
And the thing that I always say
is like, don't be apologetic.
Anything that a guy can
do you can do as well.
And I also I get kind
of mama bearish.
So like if I see anyone make a
comment that could even possibly
be interpreted as like,
well, good job,
like, you're doing
that's great for a girl.
I'm just like, what do you
mean that's great for a girl?
Like, no, that's great for
you, right?
[LAUGH] You sit down,
we're gonna have a conversation.
So I guess that's the only
thing that I can.
I wish I had of a more helpful
commentary about it, but
the reality is it's hard
to be a woman in tech.
It's difficult to know that you
have the agency to stand up for
yourself.
And it helps to have
other supportive women
in the same field to kind of
stick together and to, yeah.
>> No, I agree.
Have you had female mentors
who've been able to
help you along the way?
>> Yeah, that was the great
thing about the oil industry.
So the oil industry
is littered with
women who have just kind of
fought their way to the top.
And they're all very
very focused on, okay,
well, let's help
the other young women who are
trying to do a similar thing.
>> That's awesome.
>> Yeah, so Margery Connor
at Chevron, she's just
a phenomenal operations
research person from Berkeley.
She was a huge mentor to me.
Then also Lee Conroy and several
others in the arts sciences
were just incredibly supportive.
Like if there was ever any sort
of man talking over a person in
a meeting,
they immediately shut it down.
And we're just like, no, let's
hear what Paige has to say.
And so I always try
to do the same thing.
That's fantastic.
That's really good.
>> Yeah.
>> Well, I love hearing about,
I mean, you're so young and
you're just kind of, I feel at
the beginning of your journey,
even though you've done so much.
But I can't wait to see what you
continue to do at Microsoft and
on the CDA team around DSI,
and well,
I guess machine learning AI.
>> Yeah.
>> All right,
we're running out of time, but
I do want to do our
lightning round.
>> Okay, let's do it.
>> All right,
we're gonna do it so I'm gonna
ask you super fire questions, so
you can answer super quick.
If you want to expand
on anything you can.
I might add, we've got a list,
but I may add a couple more, so
we'll see, all right?
>> Sounds good.
>> Star Wars or Star Trek?
Star Wars.
>> All right, what do you
spend money on that makes your
life easier?
>> Coffee.
>> All right, coffee or tea?
>> Coffee.
>> All right, what's the first
thing you do in the morning
before starting work?
>> Check the email,
check phone, check,
it connects myself to all the
necessary electronic appliances.
[LAUGH]
>> Twitter or Instagram?
>> Twitter.
>> Instagram or Snapchat?
>> God, that's a hard one.
Yeah, Snapchat.
>> Snapchat or iMessage?
>> Snapchat.
>> Okay, do you listen
to music when you work?
>> I listen to
music all the time.
>> What kind of music do you
listen to when you code?
>> Usually Tim Hecker's Canada.
>> Okay,
do you ever dream in code?
>> I do.
>> Okay,
is it a specific language?
Is it full programs?
What do you see?
>> Usually Python, so
I can see images but
it looks like a terminal
window underneath, yeah.
>> Okay, what's the most useless
gadget you've ever purchased?
>> Useless gadget I ever,
probably the Zune, sorry sorry.
>> [LAUGH]
>> I was actually Star Lord for
Halloween because.
>> Wait, was it your original
Zune that you had or
did you buy one off
of eBay to be cool?
>> I bought a Zune in 2007.
Doing God's work.
>> [LAUGH]
>> All right do you have
a tattoo that you
regret the most?
>> I don't regret
any of my tattoos.
>> How many tattoos do you have?
>> Three.
>> Three, okay.
What's your favorite app?
>> My favorite app, gosh,
that would probably,
I'm lame, it would probably
be Twitter or the Fitbit app.
>> Okay.
>> Because I just love seeing-
>> You like seeing all your
steps.
>> Yeah.
>> Okay.
What's your biggest time waster?
>> My biggest time waster?
Probably also Twitter, but
it's not wasted time, there's so
much information.
>> And you're helping people.
>> This is true.
>> Kind of.
>> Sort of.
>> I mean,
it's a toxic wasteland, but
it's also sometimes good.
>> This is true.
Also hacker news probably,
that sounds.
>> Well,
speaking of toxic wastelands.
>> Yeah.
>> Don't read the comments,
but the content's good.
All right, what's your advice
for the younger generation,
especially women getting
involved in tech?
>> You do you.
You do you.
Anything
that you are interested in,
go after it full force.
The only responsibility you have
as a human being is to find what
you love and do it and
not hurt anybody in the process.
So that is my advice.
>> I love it, I love it.
All right, so right before we
wrap up we have to talk about
your Twitter name because
it pops up a lot.
Tell everybody, and
it should be on the screen
right now hopefully.
But tell the audience
your Twitter name.
>> DynamicWebPaige, paige
spelled like my name P-A-I-G-E.
>> It's so many letters which
is not a good thing for Twitter,
but it's so good.
>> Yes, and my name, I think
it's the best thing that my mom
ever gave me,
because Paige can go into so
many different
Internet-themed puns.
>> It really does, I mean like,
you should have your own podcast
called called Paige Fault.
>> Paige Fault?
Page breaks.
>> Mm-hm.
>> Every dynamic web page,
page faulted, yeah.
>> I like it, I like it.
All right, Paige Bailey.
>> Yes.
>> Thank you so much for
talking to me.
>> Thank you for having me.
This has been delightful.
>> Yeah, so your story's great,
and we will see you guys next
time on Gals and keep tuned into
Channel 9 to see more of Paige
and stuff that she does
with part of the CDA team.
>> Excellent.
[MUSIC]
