If you have questions, ideas, or MIT-affiliated resources to share, please contact our organizing team via email.

Executive Chairs

... Andy Haupt is an interdisciplinary Ph.D. Candidate with the Schwarzman College of Computing. He uses tools from Microeconomic Theory to understand multi-agent systems, recommendation engines, and automatic pricing tools in deployment and propose ways to mitigate undesirable consequences of seemingly innocuous algorithmic choices.

... Rui-Jie Yew is an S.M. student studying the legal and human-centered aspects of computation in the Technology and Policy Program. She has worked on research projects involving the design and analysis of regulation for emerging technologies, as well as the operationalization of legal values for technical systems.

Past Organizers

... Annie Snyder is an undergraduate studying Computer Science and Economics at MIT. She's currently exploring equitable design in tech and how to effectively implement these practices in industry, as well as working on engaging undergrads in careers for social good. Annie has previously worked on Internet Policy with the Knesset, Responsible AI at Facebook, and on unions and employment research at MIT.

... Sarah Cen is a PhD student in Computer Science at MIT. She studies machine learning theory through the lens of social good. Her current projects include works on social media regulation, matching markets with learning, fairness in recommendation systems, and feedback loops in data-driven algorithms. Sarah has previously worked on autonomous vehicles, communication networks, reinforcement learning, and robotics.

... Marla Evelyn is an undergraduate studying computer science, economics, and math at MIT. She is a researcher at the MIT Computer Science and Artificial Intelligence Laboratory studying interpretable and explainable machine learning algorithms. Previously, she has done research at the Brookings Institution and the MIT Media Lab. Outside of class and research, Marla enjoys rowing, baking, and playing board games.

... Riana Shah is a concurrent degree student at MIT and Harvard studying business and public policy. With her background in tech and sociology, she built an Ed tech startup that has done work in over 19 cities across 11 countries. She is now building Ethix.AI that combats algorithmic bias to fight systematic racism in tech.

... Harini Suresh is PhD student in computer science at MIT. She is particularly interested in studying how complications arise when machine learning is used with imperfect real-world data, and building tools that surface possible concerns to end users. She did her undergrad and M.Eng. at MIT as well, and worked on developing interpretable methods for predicting onset and weaning of invasive interventions for patients in Intensive Care Units. She has spent summers working at Google Brain, Jawbone, and Zephyr Health. Outside of research, she loves doing aerial arts, baking all kinds of things, and reading.

... Irene Chen is a PhD student in computer science at MIT, advised by David Sontag in the Clinical Machine Learning group. She works on machine learning methods to advance understanding of health and reduce inequality. Prior to MIT, she completed a joint AB/SM degree at Harvard. She also worked at Dropbox as a data scientist, machine learning engineer, and chief of staff.

... Leilani H. Gilpin is a PhD student in Electrical Engineering and Computer Science at MIT. Her area of focus is explanatory artificial intelligence, which enables autonomous vehicles, and other autonomous machines to explain themselves. She is currently working on a Toyota Research Initiative Project, “The Car Can Explain!” in the Computer Science and Artificial Intelligence Lab under the supervision of Professor Gerald Jay Sussman. Before returning to academia, Leilani worked at Palo Alto Research Center (PARC) and earned a M.S. from Stanford University and a B.S. in Mathematics (with honors), B.S. in Computer Science (with highest honors), and a music minor from UC San Diego in 2011.

... Milo Phillips-Brown is a Postdoctoral Associate in the Ethics of Technology at MIT Philosophy and a Research Fellow in Digital Ethics at the Jain Family Institute. He studies the ethical and social justice implications of technology and teaches ethical engineering practices to computer scientists.