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Daphne Cornelisse

Hello! I am a second-year PhD student at NYU, advised by Prof. Eugene Vinitsky. I build agents that behave like humans for multi-agent, safety-critical settings. To do this, I combine reinforcement learning, generative modeling, and principles from cognitive science. Before my PhD, I completed an undergraduate degree in Neuroscience and a master’s in AI, where I worked on cooperative game theory.

I am excited to be interning at Waymo this summer.

Outside the lab, I enjoy a run along the East River, reading, and sketching.

Google Scholar / GitHub / X / Bluesky / Goodreads

News

Mar 2025. Talk: Gave an invited talk at the AI and Social Good Lab (AISOC) at CMU.
Jan 2025. Workshop: I am co-organizing the workshop on Computational Models of Human Road User Behavior for Autonomous Vehicles at IEEE IAVVC.
Jan 2025. Fellowship: I'm honored to have been awarded the 2025 PhD Cooperative AI Fellowship!
Oct 2024. Talk: Gave an invited talk on HR-PPO and GPUDrive at the RL reading group at UoE! You can watch the recording here.
May 2024. Paper: Human-compatible driving partners through data-regularized self-play reinforcement learning was accepted to RLC 2024.
Apr 2024. Talk: Gave an invited talk on Human-Regularized PPO at the Berkeley Multiagent Learning Seminar! The slides are here.
Sep 2023. Started my Ph.D. at NYU with the EMERGE Lab!