Jack Lu

I’m a second-year Computer Science Ph.D. student in the CILVR lab at NYU Courant. My research is supported by the NSERC PGS-D Scholarship. Prior to joining NYU, I got my Bachelor’s degree in Computer Science and Mathematics at the University of Waterloo.

I’m currently interested in efficiently adapting foundation models to out-of-distribution tasks, new knowledge, user preferences, and more. To achieve these goals, I build upon various methods from test-time training, in-context learning, and diffusion guidance.

Back in undergrad, I did a mixture of research and software engineering work at NVIDIA, Waabi/Uber-ATG, IBM, DarwinAI, and Deep Trekker. I was fortunate to have worked with Prof. Raquel Urtasun, Prof. Sanja Fidler, and Prof. Alexander Wong.

I’m happy to discuss about collaboration, mentorship, and research in general. You can email me for a virtual/in-person chat.