Jack Lu
Hey! I’m a PhD candidate in the CILVR lab at NYU Courant, advised by Mengye Ren and supported by NSERC. Previously, I did my undergrad in CS + Math at UWaterloo.
I’m broadly interested in researching foundation models that perceive, reason, and act. I currently work on VLA and world models at NVIDIA, and after, on LLM reasoning and agents at Meta. Before these, I did research and engineering for autonomous driving and ML for health at NVIDIA, Waabi/Uber-ATG, IBM, and DarwinAI, working 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
| May 2026 | Arrived at NVIDIA Santa Clara to work on VLA and world models. 10/10 ☀️, 0/10 walkability. |
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| May 2026 | The Surprising Effectiveness of Deleting Weights in LLM Reasoning and Adaptation is accepted by the ICML 2026 Workshop on Foundations of Deep Generative Models. |
| May 2026 | Context Tuning for In-Context Optimization is accepted by ICML 2026. See ya in 🇰🇷. |
| Apr 2026 | I will join Meta as a visiting researcher this fall to work on LLM reasoning and self/co-improvement. |
| Jan 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 2026 | SkillFactory: Self-Distillation For Learning Cognitive Behaviors is accepted by ICLR 2026. |
| May 2025 | Context Tuning for In-Context Optimization is accepted by the ICML 2025 Workshop on Test-Time Adaptation. |
| Jul 2024 | ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation is accepted by ECCV 2024. |
| Apr 2024 | I was selected to receive the NSERC CGRS-D Scholarship to support my PhD at NYU. |
| Jan 2024 | SceneControl: Diffusion for Controllable Traffic Scene Generation is accepted by ICRA 2024. |
| Sep 2023 | I started my PhD in Computer Science at NYU, advised by Mengye Ren. |
publications
- ICML
The Surprising Effectiveness of Deleting Weights in LLM Reasoning and AdaptationICML Workshop on Foundations of Deep Generative Models , 2026
