Marissa G.

Marissa Gerchick

RSM Assembly Fellow

Marissa Gerchick is a data scientist and researcher focused on the intersection of technology and consumer protection issues, especially related to machine learning and algorithmic decision-making systems. Marissa has worked on technology policy problems in the U.S. Senate, at machine learning startups, at public interest organizations, and in interdisciplinary research labs. Currently, Marissa is a Data Scientist – Algorithmic Justice Specialist at the American Civil Liberties Union (ACLU). Previously, Marissa was a Technology Fellow in the U.S. Senate through the TechCongress program. In Congress, Marissa worked on the staff of the Senate Judiciary Committee’s Antitrust Subcommittee, focusing on policy related to social media accountability, algorithmic decision-making, and competition in digital markets. Marissa has also worked at Hugging Face, a startup building systems for open source and open science collaboration in machine learning. At Hugging Face, Marissa focused on building tools to improve documentation of machine learning models through model cards, with the aim of improving transparency and accountability of the associated machine learning models. Marissa was also previously a data scientist at the Stanford Computational Policy Lab, where she used statistical tools to understand policy decisions, focusing on discriminatory policing practices and pathways for reform to the criminal legal system. Marissa holds a B.S. in Mathematical and Computational Science and an M.S. in Management Science and Engineering (focused on Computational Social Science), both from Stanford University.
Twitter: @mkgerchick

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