[Sds-seminars] Monday, Feb 24, Emma Pierson on "Data science methods to reduce inequality and improve healthcare"

[Dan Spielman]

S&DS|CS JOINT SEMINAR, EMMA PIERSONStanford University

> Data science methods to reduce inequality and improve healthcare
> Monday, February 24, 20204:00PM to 5:00PM
> YINS see map
> <http://maps.google.com/?q=17+Hillhouse+Avenue%2C+Rm.+328%2C+New+Haven%2C+CT%2C+06511%2C+us>
>
> 17 Hillhouse Avenue, Rm. 328
> New Haven, CT 06511
> Website <https://cs.stanford.edu/~emmap1/index.html>
> Information and Abstract:
>
> I will describe how to use data science methods to understand and reduce
> inequality in two domains: criminal justice and healthcare. First, I will
> discuss how to use Bayesian modeling to detect racial discrimination in
> policing. Second, I will describe how to use machine learning to explain
> racial and socioeconomic inequality in pain.
>
> Bio: Emma Pierson is a PhD student in Computer Science at Stanford,
> supported by Hertz and NDSEG Fellowships. Previously, she completed a
> master’s degree in statistics at Oxford on a Rhodes Scholarship. She
> develops statistical and machine learning methods to study two deeply
> entwined problems: reducing inequality and improving healthcare. She also
> writes about these topics for broader audiences in publications including
> The New York Times, The Washington Post, FiveThirtyEight, and Wired. Her
> work has been recognized by best paper (AISTATS 2018), best poster (ICML
> Workshop on Computational Biology), and best talk (ISMB High Throughput
> Sequencing Workshop) awards, and she has been named a Rising Star in EECS
> and Forbes 30 Under 30 in Science.
>
>
>
> --
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