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Coffee Break and Poster Session
Rameswar Panda · Prasanna Sattigeri · Kush Varshney · Karthikeyan Natesan Ramamurthy · Harvineet Singh · Vishwali Mhasawade · Shalmali Joshi · Laleh Seyyed-Kalantari · Matthew McDermott · Gal Yona · James Atwood · Hansa Srinivasan · Yonatan Halpern · D. Sculley · Behrouz Babaki · Margarida Carvalho · Josie Williams · Narges Razavian · Haoran Zhang · Amy Lu · Irene Y Chen · Xiaojie Mao · Angela Zhou · Nathan Kallus

Sat Dec 14 10:30 AM -- 11:00 AM (PST) @
in Fair ML in Healthcare »

Author Information

Rameswar Panda (IBM Research)
Prasanna Sattigeri (IBM Research)
Kush Varshney (IBM Research)
Karthikeyan Natesan Ramamurthy (IBM Research)
Harvineet Singh (New York University)
Vishwali Mhasawade (New York University)
Shalmali Joshi (Vector Institute)
Laleh Seyyed-Kalantari (University of Toronto)
Matthew McDermott (MIT)
Gal Yona (Weizmann Institute of Science)
James Atwood (Google Brain)
Hansa Srinivasan (Google Research)
Yonatan Halpern (Google)
D. Sculley (Google Research)
Behrouz Babaki (Polytechnique Montreal)
Margarida Carvalho (Université de Montréal)
Josie Williams (New York University)

Josie is currently a research assistant at NYU Medical Center working with a team to implement machine learning into healthcare with the goal to create technology that can predict chronic kidney disease more than two years in advance. Her particular role deals with algorithmic fairness and ensuring universal accuracy for all demographic subgroups. Josie also previously worked as the Engineering Lead at Draft.Fish, where she managed a team of developers and assisted in programming a time management application called Robin, which is now in its beta phase. Josie is also founder and president of an organization called Students of Color in Computer Science, which is based at NYU. One of the things she finds of utmost importance is bringing computer education and general exposure to software development to underrepresented demographics. There, the club serves to promote the growth and development of a community of people of color passionate about computer science. Our overall goal is to increase the number of people of color in the computer science field by holding workshops to teach basic programming concepts, volunteering at organizations geared towards minorities, and providing opportunities for internships outside of an academic setting.

Narges Razavian (New York University)
Haoran Zhang (University of Toronto)
Amy Lu (University of Toronto/Vector Institute)
Irene Y Chen (MIT)

Irene is a PhD student at MIT focusing on applications on health care and fairness. She did her undergrad at Harvard where I studied applied math and computational engineering. Before starting at MIT, she worked for two years at Dropbox as a data scientist and machine learning engineer.

Xiaojie Mao (Cornell University)
Angela Zhou (Cornell University)
Nathan Kallus (Cornell University)

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