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my<00:00:12.870><c> name</c><00:00:12.990><c> is</c><00:00:13.080><c> Eric</c><00:00:13.320><c> Williams</c><00:00:13.730><c> your</c><00:00:14.730><c> curve</c><00:00:14.880><c> data</c>

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my name is Eric Williams your curve data
 

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my name is Eric Williams your curve data
science<00:00:15.420><c> at</c><00:00:15.509><c> amada</c><00:00:15.809><c> health</c><00:00:16.049><c> I</c><00:00:21.920><c> think</c><00:00:22.920><c> it</c><00:00:22.980><c> was</c>

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science at amada health I think it was
 

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science at amada health I think it was
being<00:00:23.279><c> around</c><00:00:23.460><c> people</c><00:00:23.730><c> that</c><00:00:23.760><c> see</c><00:00:24.210><c> the</c>

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being around people that see the
 

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being around people that see the
potential<00:00:24.600><c> of</c><00:00:24.869><c> data</c><00:00:25.080><c> especially</c><00:00:25.830><c> in</c><00:00:26.189><c> kind</c><00:00:26.460><c> of</c>

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potential of data especially in kind of
 

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potential of data especially in kind of
the<00:00:26.609><c> life</c><00:00:26.760><c> sciences</c><00:00:27.359><c> and</c><00:00:27.720><c> in</c><00:00:28.410><c> health</c><00:00:28.710><c> I</c><00:00:29.070><c> think</c>

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the life sciences and in health I think
 

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the life sciences and in health I think
there's<00:00:30.150><c> a</c><00:00:30.269><c> little</c><00:00:30.420><c> bit</c><00:00:30.539><c> of</c><00:00:30.599><c> transition</c><00:00:31.199><c> there</c>

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there's a little bit of transition there
 

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there's a little bit of transition there
at<00:00:31.410><c> least</c><00:00:31.560><c> in</c><00:00:31.710><c> healthcare</c><00:00:32.250><c> thinking</c><00:00:32.940><c> about</c>

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at least in healthcare thinking about
 

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at least in healthcare thinking about
outcomes<00:00:33.809><c> based</c><00:00:34.260><c> pricing</c><00:00:35.180><c> paper</c><00:00:36.180><c> value</c>

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outcomes based pricing paper value
 

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outcomes based pricing paper value
rather<00:00:36.899><c> than</c><00:00:37.020><c> pay</c><00:00:37.230><c> for</c><00:00:37.469><c> service</c><00:00:37.829><c> and</c><00:00:38.090><c> the</c>

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rather than pay for service and the
 

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rather than pay for service and the
intersection<00:00:40.350><c> of</c><00:00:40.379><c> that</c><00:00:40.620><c> in</c><00:00:40.829><c> data</c><00:00:41.040><c> science</c><00:00:41.280><c> i</c>

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intersection of that in data science i
 

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intersection of that in data science i
think<00:00:41.760><c> is</c><00:00:41.820><c> particularly</c><00:00:42.270><c> interesting</c><00:00:42.809><c> and</c>

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think is particularly interesting and
 

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think is particularly interesting and
being<00:00:44.430><c> around</c><00:00:44.550><c> getting</c><00:00:45.120><c> to</c><00:00:45.149><c> talk</c><00:00:45.420><c> to</c><00:00:45.660><c> people</c>

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being around getting to talk to people
 

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being around getting to talk to people
that<00:00:46.110><c> also</c><00:00:46.530><c> are</c><00:00:46.649><c> excited</c><00:00:47.039><c> about</c><00:00:47.129><c> that</c><00:00:47.460><c> and</c><00:00:47.610><c> the</c>

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that also are excited about that and the
 

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that also are excited about that and the
potential<00:00:48.059><c> value</c><00:00:48.450><c> there</c><00:00:48.629><c> is</c><00:00:48.950><c> really</c><00:00:49.950><c> exciting</c>

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I<00:00:57.280><c> think</c><00:00:58.280><c> data</c><00:00:58.609><c> is</c><00:00:58.909><c> cool</c><00:00:59.300><c> and</c><00:00:59.510><c> exciting</c>

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I think data is cool and exciting
 

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I think data is cool and exciting
because<00:01:01.129><c> it's</c><00:01:01.789><c> starting</c><00:01:02.390><c> to</c><00:01:02.769><c> be</c><00:01:03.769><c> directed</c><00:01:04.280><c> at</c>

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because it's starting to be directed at
 

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because it's starting to be directed at
really<00:01:05.869><c> important</c><00:01:06.320><c> outcomes</c><00:01:06.799><c> so</c><00:01:08.830><c> it</c>

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really important outcomes so it
 

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really important outcomes so it
healthcare<00:01:10.100><c> is</c><00:01:10.340><c> the</c><00:01:10.399><c> obvious</c><00:01:10.549><c> example</c><00:01:11.330><c> I</c><00:01:11.509><c> feel</c>

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healthcare is the obvious example I feel
 

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healthcare is the obvious example I feel
like<00:01:11.930><c> we</c><00:01:12.080><c> can</c><00:01:12.200><c> take</c><00:01:12.409><c> the</c><00:01:12.590><c> same</c><00:01:12.830><c> data</c><00:01:13.189><c> science</c>

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like we can take the same data science
 

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like we can take the same data science
toolkit<00:01:14.060><c> of</c><00:01:14.470><c> analytics</c><00:01:15.470><c> machine</c><00:01:15.920><c> learning</c>

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toolkit of analytics machine learning
 

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toolkit of analytics machine learning
and<00:01:16.340><c> experimentation</c><00:01:17.000><c> has</c><00:01:17.360><c> been</c><00:01:18.110><c> optimized</c>

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and experimentation has been optimized
 

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and experimentation has been optimized
on<00:01:20.229><c> you</c><00:01:21.229><c> know</c><00:01:21.350><c> traditionally</c><00:01:22.220><c> generating</c><00:01:22.939><c> a</c>

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on you know traditionally generating a
 

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on you know traditionally generating a
lot<00:01:23.090><c> of</c><00:01:23.149><c> ad</c><00:01:23.450><c> revenue</c><00:01:23.929><c> or</c><00:01:24.200><c> click</c><00:01:24.470><c> through</c><00:01:24.710><c> rates</c>

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lot of ad revenue or click through rates
 

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lot of ad revenue or click through rates
or<00:01:25.429><c> funnel</c><00:01:25.789><c> conversions</c><00:01:26.390><c> and</c><00:01:27.220><c> replace</c><00:01:28.220><c> those</c>

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or funnel conversions and replace those
 

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or funnel conversions and replace those
outcomes<00:01:28.880><c> with</c><00:01:29.630><c> health</c><00:01:30.080><c> outcomes</c><00:01:30.649><c> with</c><00:01:31.369><c> the</c>

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outcomes with health outcomes with the
 

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outcomes with health outcomes with the
same<00:01:31.759><c> tools</c><00:01:32.090><c> and</c><00:01:32.569><c> the</c><00:01:32.630><c> same</c><00:01:32.840><c> power</c><00:01:33.110><c> and</c><00:01:34.100><c> the</c>

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same tools and the same power and the
 

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same tools and the same power and the
same<00:01:34.369><c> volume</c><00:01:34.610><c> of</c><00:01:34.789><c> data</c><00:01:35.740><c> and</c><00:01:36.740><c> I</c><00:01:36.890><c> think</c><00:01:37.130><c> what's</c>

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same volume of data and I think what's
 

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same volume of data and I think what's
really<00:01:37.429><c> cool</c><00:01:37.940><c> is</c><00:01:38.179><c> that</c><00:01:38.270><c> in</c><00:01:39.049><c> with</c><00:01:40.009><c> health</c>

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really cool is that in with health
 

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really cool is that in with health
systems<00:01:40.789><c> it</c><00:01:41.690><c> can</c><00:01:41.750><c> kind</c><00:01:42.740><c> of</c><00:01:42.830><c> take</c><00:01:43.009><c> a</c><00:01:43.069><c> model</c><00:01:43.459><c> like</c>

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systems it can kind of take a model like
 

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systems it can kind of take a model like
Netflix<00:01:44.209><c> a</c><00:01:44.509><c> where</c><00:01:44.899><c> the</c><00:01:45.860><c> more</c><00:01:46.159><c> users</c><00:01:46.670><c> Netflix</c>

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Netflix a where the more users Netflix
 

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Netflix a where the more users Netflix
get<00:01:47.679><c> acquires</c><00:01:48.679><c> watching</c><00:01:49.190><c> their</c><00:01:49.310><c> movies</c>

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get acquires watching their movies
 

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get acquires watching their movies
telling<00:01:50.270><c> Netflix</c><00:01:50.690><c> what</c><00:01:50.899><c> they</c><00:01:51.049><c> like</c><00:01:51.289><c> the</c>

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telling Netflix what they like the
 

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telling Netflix what they like the
better<00:01:52.539><c> prescriptions</c><00:01:53.539><c> Netflix</c><00:01:54.049><c> can</c><00:01:54.259><c> give</c>

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better prescriptions Netflix can give
 

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better prescriptions Netflix can give
for<00:01:55.299><c> movies</c><00:01:56.299><c> that</c><00:01:56.450><c> you</c><00:01:56.569><c> may</c><00:01:56.720><c> want</c><00:01:56.959><c> to</c><00:01:57.020><c> watch</c>

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for movies that you may want to watch
 

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for movies that you may want to watch
health<00:01:58.429><c> care</c><00:01:58.670><c> and</c><00:02:00.099><c> hopefully</c><00:02:01.099><c> advantage</c>

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health care and hopefully advantage
 

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health care and hopefully advantage
advanced<00:02:02.289><c> advances</c><00:02:03.289><c> in</c><00:02:03.470><c> interoperability</c>

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advanced advances in interoperability
 

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advanced advances in interoperability
and<00:02:04.959><c> data</c><00:02:05.959><c> collection</c><00:02:06.229><c> and</c><00:02:06.890><c> data</c><00:02:07.519><c> analysis</c><00:02:08.390><c> we</c>

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and data collection and data analysis we
 

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and data collection and data analysis we
can<00:02:08.959><c> get</c><00:02:09.080><c> to</c><00:02:09.170><c> a</c><00:02:09.200><c> similar</c><00:02:09.530><c> self</c><00:02:09.979><c> learning</c>

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can get to a similar self learning
 

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can get to a similar self learning
system<00:02:10.910><c> where</c><00:02:14.200><c> input</c><00:02:15.200><c> such</c><00:02:15.440><c> as</c><00:02:17.050><c> biology</c>

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system where input such as biology
 

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system where input such as biology
genomics<00:02:19.220><c> and</c><00:02:19.849><c> cancer</c><00:02:20.569><c> histologies</c><00:02:22.390><c> physical</c>

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genomics and cancer histologies physical
 

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genomics and cancer histologies physical
activity<00:02:26.200><c> social</c><00:02:27.200><c> dynamics</c><00:02:27.860><c> can</c><00:02:28.640><c> be</c><00:02:28.700><c> tied</c>

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activity social dynamics can be tied
 

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activity social dynamics can be tied
directly<00:02:29.239><c> to</c><00:02:29.599><c> health</c><00:02:30.080><c> outcomes</c><00:02:31.060><c> in</c><00:02:32.060><c> that</c>

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directly to health outcomes in that
 

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directly to health outcomes in that
sense<00:02:32.480><c> the</c><00:02:32.659><c> more</c><00:02:32.840><c> patients</c><00:02:33.379><c> that</c><00:02:33.500><c> are</c><00:02:33.530><c> treated</c>

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sense the more patients that are treated
 

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sense the more patients that are treated
the<00:02:35.269><c> more</c><00:02:35.540><c> we</c><00:02:35.840><c> can</c><00:02:35.870><c> learn</c><00:02:36.019><c> about</c>

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the more we can learn about
 

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the more we can learn about
personalization<00:02:38.030><c> of</c><00:02:38.510><c> treatments</c><00:02:39.200><c> for</c>

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personalization of treatments for
 

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personalization of treatments for
specific<00:02:41.319><c> outcomes</c><00:02:42.319><c> health</c><00:02:42.650><c> outcomes</c><00:02:43.069><c> I</c>

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specific outcomes health outcomes I
 

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specific outcomes health outcomes I
think<00:02:43.610><c> that's</c><00:02:43.700><c> what's</c><00:02:43.909><c> most</c><00:02:44.030><c> exciting</c>

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the<00:03:03.969><c> main</c><00:03:04.180><c> insight</c><00:03:04.719><c> is</c><00:03:06.989><c> health</c><00:03:07.989><c> care</c><00:03:08.170><c> needs</c>

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the main insight is health care needs
 

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the main insight is health care needs
help<00:03:08.700><c> and</c><00:03:09.700><c> there's</c><00:03:09.939><c> a</c><00:03:10.239><c> ton</c><00:03:11.049><c> of</c><00:03:11.129><c> opportunities</c>

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help and there's a ton of opportunities
 

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help and there's a ton of opportunities
not<00:03:12.700><c> as</c><00:03:13.359><c> far</c><00:03:13.629><c> as</c><00:03:13.659><c> like</c><00:03:13.780><c> personal</c><00:03:14.290><c> data</c><00:03:14.469><c> science</c>

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not as far as like personal data science
 

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not as far as like personal data science
opportunities<00:03:15.370><c> which</c><00:03:15.700><c> exists</c><00:03:16.060><c> tube</c>

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opportunities which exists tube
 

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opportunities which exists tube
opportunities<00:03:16.900><c> to</c><00:03:17.049><c> really</c><00:03:17.349><c> make</c><00:03:18.689><c> make</c><00:03:19.689><c> a</c>

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opportunities to really make make a
 

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opportunities to really make make a
difference<00:03:20.170><c> and</c><00:03:21.329><c> account</c><00:03:22.329><c> for</c><00:03:22.420><c> huge</c>

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difference and account for huge
 

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difference and account for huge
inefficiency<00:03:23.470><c> gaps</c><00:03:24.250><c> in</c><00:03:24.549><c> the</c><00:03:24.670><c> systems</c><00:03:25.120><c> right</c>

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inefficiency gaps in the systems right
 

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inefficiency gaps in the systems right
now<00:03:25.569><c> where</c><00:03:26.319><c> the</c><00:03:26.349><c> incentives</c><00:03:27.159><c> are</c><00:03:27.220><c> completely</c>

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now where the incentives are completely
 

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now where the incentives are completely
aligned<00:03:27.909><c> the</c><00:03:28.090><c> wrong</c><00:03:28.299><c> direction</c><00:03:28.510><c> and</c><00:03:28.930><c> data</c><00:03:29.170><c> has</c>

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aligned the wrong direction and data has
 

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aligned the wrong direction and data has
the<00:03:29.739><c> opportunity</c><00:03:30.040><c> to</c><00:03:30.400><c> help</c><00:03:30.970><c> align</c><00:03:31.329><c> those</c><00:03:31.540><c> and</c>

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the opportunity to help align those and
 

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the opportunity to help align those and
some<00:03:31.930><c> incentives</c><00:03:32.859><c> for</c><00:03:33.519><c> real</c><00:03:33.730><c> health</c><00:03:34.420><c> outcomes</c>

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some incentives for real health outcomes
 

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some incentives for real health outcomes
I<00:03:35.409><c> think</c><00:03:35.709><c> that's</c><00:03:35.829><c> the</c><00:03:35.920><c> main</c><00:03:36.129><c> thing</c><00:03:36.159><c> I</c><00:03:36.370><c> want</c><00:03:36.579><c> to</c>

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I think that's the main thing I want to
 

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I think that's the main thing I want to
communicate

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I<00:03:48.450><c> think</c><00:03:49.760><c> to</c><00:03:50.760><c> become</c><00:03:51.030><c> a</c><00:03:51.200><c> data</c><00:03:52.200><c> scientist</c><00:03:52.680><c> it</c>

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I think to become a data scientist it
 

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I think to become a data scientist it
would<00:03:53.040><c> be</c><00:03:53.159><c> getting</c><00:03:53.519><c> exposure</c><00:03:53.909><c> to</c><00:03:54.209><c> as</c><00:03:54.299><c> many</c>

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would be getting exposure to as many
 

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would be getting exposure to as many
different<00:03:56.390><c> problems</c><00:03:57.390><c> as</c><00:03:57.540><c> you</c><00:03:57.629><c> can</c><00:03:58.430><c> whether</c>

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different problems as you can whether
 

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different problems as you can whether
it's<00:03:59.700><c> a</c><00:04:00.140><c> big</c><00:04:01.140><c> big</c><00:04:01.709><c> data</c><00:04:02.280><c> or</c><00:04:02.549><c> large</c><00:04:02.790><c> data</c><00:04:03.290><c> small</c>

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it's a big big data or large data small
 

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it's a big big data or large data small
data<00:04:04.560><c> with</c><00:04:05.310><c> exposure</c><00:04:05.640><c> to</c><00:04:06.060><c> analyses</c><00:04:06.540><c> in</c>

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data with exposure to analyses in
 

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data with exposure to analyses in
different<00:04:07.110><c> spectrums</c><00:04:08.040><c> of</c><00:04:08.220><c> data</c><00:04:08.459><c> in</c><00:04:08.790><c> types</c><00:04:10.040><c> you</c>

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different spectrums of data in types you
 

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different spectrums of data in types you
are<00:04:11.250><c> going</c><00:04:11.370><c> to</c><00:04:11.430><c> exposed</c><00:04:12.000><c> to</c><00:04:12.120><c> different</c>

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are going to exposed to different
 

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are going to exposed to different
statistical<00:04:14.329><c> analysis</c><00:04:15.329><c> the</c><00:04:16.289><c> same</c><00:04:16.500><c> stats</c><00:04:17.310><c> that</c>

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statistical analysis the same stats that
 

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statistical analysis the same stats that
apply<00:04:17.850><c> at</c><00:04:18.530><c> you</c><00:04:19.530><c> know</c><00:04:19.650><c> particle</c><00:04:20.430><c> physics</c><00:04:20.699><c> level</c>

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apply at you know particle physics level
 

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apply at you know particle physics level
are<00:04:21.389><c> very</c><00:04:21.690><c> different</c><00:04:22.049><c> than</c><00:04:22.109><c> the</c><00:04:22.229><c> ones</c><00:04:22.410><c> that</c>

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are very different than the ones that
 

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are very different than the ones that
apply<00:04:22.860><c> in</c><00:04:22.979><c> the</c><00:04:23.160><c> hospital</c><00:04:23.760><c> it's</c><00:04:24.030><c> good</c><00:04:24.270><c> to</c><00:04:24.300><c> get</c><00:04:24.510><c> a</c>

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apply in the hospital it's good to get a
 

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apply in the hospital it's good to get a
view<00:04:24.990><c> on</c><00:04:25.169><c> that</c><00:04:25.949><c> whole</c><00:04:26.190><c> spectrum</c><00:04:26.669><c> and</c><00:04:26.970><c> the</c>

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fidelity<00:04:30.030><c> of</c><00:04:30.120><c> the</c><00:04:30.300><c> data</c><00:04:30.510><c> changes</c><00:04:31.139><c> to</c><00:04:31.550><c> between</c>

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fidelity of the data changes to between
 

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fidelity of the data changes to between
those<00:04:32.669><c> contexts</c><00:04:33.410><c> the</c><00:04:34.410><c> more</c><00:04:34.729><c> exposure</c><00:04:35.729><c> someone</c>

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those contexts the more exposure someone
 

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those contexts the more exposure someone
can<00:04:36.870><c> give</c><00:04:37.110><c> themselves</c><00:04:37.350><c> whether</c><00:04:37.889><c> it's</c><00:04:38.100><c> your</c>

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can give themselves whether it's your
 

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can give themselves whether it's your
open<00:04:38.639><c> data</c><00:04:38.900><c> or</c><00:04:39.900><c> different</c><00:04:40.260><c> projects</c>

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open data or different projects
 

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open data or different projects
hackathons<00:04:41.610><c> I</c><00:04:42.110><c> think</c><00:04:43.110><c> the</c><00:04:43.199><c> more</c><00:04:43.440><c> a</c><00:04:44.430><c> data</c>

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hackathons I think the more a data
 

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hackathons I think the more a data
scientist<00:04:45.449><c> can</c><00:04:45.660><c> internalize</c><00:04:45.960><c> that</c><00:04:46.500><c> it's</c>

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scientist can internalize that it's
 

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scientist can internalize that it's
really<00:04:46.949><c> the</c><00:04:48.020><c> statistics</c><00:04:49.020><c> underneath</c><00:04:49.500><c> it</c>

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really the statistics underneath it
 

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really the statistics underneath it
rather<00:04:50.010><c> than</c><00:04:50.130><c> any</c><00:04:50.460><c> particular</c><00:04:51.349><c> latest</c><00:04:52.349><c> and</c>

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rather than any particular latest and
 

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rather than any particular latest and
greatest<00:04:52.650><c> machine</c><00:04:53.160><c> learning</c><00:04:53.460><c> algorithm</c><00:04:53.940><c> or</c>

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greatest machine learning algorithm or
 

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greatest machine learning algorithm or
programming<00:04:55.169><c> language</c><00:04:55.560><c> to</c><00:04:56.039><c> the</c><00:04:56.220><c> underlying</c>

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programming language to the underlying
 

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programming language to the underlying
statistical<00:04:57.210><c> intuition</c><00:04:57.750><c> that</c><00:04:57.990><c> you</c><00:04:58.590><c> can</c>

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statistical intuition that you can
 

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statistical intuition that you can
translate<00:04:59.160><c> from</c><00:04:59.400><c> one</c><00:04:59.460><c> setting</c><00:04:59.910><c> to</c><00:05:00.000><c> the</c><00:05:00.090><c> next</c>

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translate from one setting to the next
 

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translate from one setting to the next
and<00:05:00.780><c> become</c><00:05:01.500><c> very</c><00:05:01.979><c> perfectly</c><00:05:02.400><c> two</c><00:05:02.580><c> scientists</c>

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and become very perfectly two scientists
 

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and become very perfectly two scientists
you