Ulyana Piterbarg

Ulyana Piterbarg

up2021 [at] cims.nyu.edu

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I’m a Ph.D. candidate in the CILVR lab at NYU Courant, co-advised by Rob Fergus and Lerrel Pinto. My research is supported by a DeepMind Ph.D. Scholarship and an NSF Graduate Research Fellowship.

I’m interested in reasoning, decision-making, and open-ended interaction with large generative models. Recently, I’ve been thinking about:

My work touches on generative modeling and reinforcement learning across modalities (vision, natural language processing, simulators, etc.). I’m also broadly interested in differentiable computing.

I’ve spent time at EPFL LCN, the Applied Science Team at Google Research, and Microsoft Research NYC. I did my undergrad in mathematics at MIT, during which I was exceptionally lucky to be mentored by Kelsey R. Allen, Gigliola Staffilani, Jörn Dunkel, and Raffaele Ferrari.