About Me

I’m a research scientist at Meta Superintelligence Labs, in the Fundamental AI Research (FAIR) pillar. My current research centers on building Large Language Model (LLM)-based agentic systems for complex tasks such as code generation, automated research, and self-improvement.

I’m also committed to making AI reliable and transparent. I have previously designed algorithms and tools that improve the factuality, safety, and interpretability of LLMs.

I received my Ph.D. in Computer Science from University of Toronto, Canada, where I studied automated understanding and generation of creative language use. I was fortunate to intern at Meta FAIR and Google Research.