I am a Research Scientist at FAIR at Meta working on all things LLMs (reinforcement learning, optimization, scaling laws, architectures, data).
Previously, I was a Research Fellow at the Kempner Institute at Harvard working on understanding language modeling with Sham Kakade and co (optimization, architectures, data, RL). Before that, I did my PhD on offline reinforcement learning at NYU advised by Joan Bruna and supported by an NDSEG fellowship. During that time, I interned at Google Brain, MSR, and FAIR.
Feel free to reach out via email!