I'm a soon-to-be IS PhD candidate at Cornell, where I’ll be studying issues of fairness & transparency in machine learning/AI. My work has been supported by scholarships from the National Science Foundation, the Association of Computing Machinery, and the Anita Borg Institute. Most recently, I served as a Microsoft Fellow on the Technology & Civic Engagement team, where I worked on a range of projects like developing a series of open data dashboards for local government to bringing cloud-based language translation services to New York’s municipal ID card applicants. Before that, I spent some time at Microsoft Research and the Federal Reserve Board of Governors.
I'm a proud member of Data & Society, BetaNYC, NASA Datanauts, and the Microsoft Research reading group on fairness, accountability, transparency, and ethics in machine learning. I'm also an avid public speaker and have been a panelist, feature, or keynote at venues like Bloomberg, Microsoft, Facebook, Sony, the Metropolitan Museum of Art, and Carnegie Mellon. From time to time, I also host cryptoparties around the NYC area.