Jack Lu
I’m a third-year Computer Science Ph.D. student in the CILVR lab at NYU Courant, advised by Mengye Ren and collaborating with Greg Durrett and Seunghoon Hong. My research is supported by the NSERC PGS-D Scholarship. Prior to joining NYU, I received my bachelor’s degree in Computer Science and Mathematics from the University of Waterloo.
I’m currently interested in:
- LLM Reasoning and Test-Time Scaling: understanding and improving how LLMs adapt, reason, and self-improve at inference time.
- World Models and Embodied Reasoning: learning world models from video and interaction data and leveraging them as simulators, planners, and co-training objectives.
Previously, I did research and software engineering for autonomous driving and ML for health at NVIDIA, Waabi/Uber-ATG, IBM, and DarwinAI. I was fortunate to have worked with Raquel Urtasun, Sanja Fidler, and Alexander Wong.
I’m happy to discuss collaboration, mentorship, and research in general. You can email me for a virtual or in-person chat. My office is at 60 5th Ave, New York.
news
| Jan 31, 2026 | I will join NVIDIA as a research intern this summer to work on reasoning VLA/World models :) |
|---|---|
| Jan 30, 2026 | When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers is featured by NYU Center of Data Science here and subsequently accepted by ICLR 2026 AI with Recursive Self-Improvement workshop. |
| Jan 28, 2026 | SkillFactory: Self-Distillation For Learning Cognitive Behaviors is accepted by ICLR 2026. |
| Jul 07, 2025 | Context Tuning for In-Context Optimization is accepted by the ICML 2025 Test-Time Adaptation workshop. |
| Jul 01, 2024 | ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation is accepted by ECCV 2024. |
