About me

Hi, I’m Adib Hasan. I work on self-improving agents that operate autonomously over long horizons. My agent loops built the #1 AI assistant on the Spider 2.0 DBT benchmark and discovered 150+ vulnerabilities across widely used OSS projects. Previously, I spent two years as a quant researcher managing multi-million dollar crypto portfolios and leading a team of four. You can find more on my LinkedIn.

I completed my bachelors (Math & EECS) and MEng (EECS) from MIT, where I was advised by Dr. Mardavij Roozbehani and Prof. Munther Dahleh. My research focused on model robustness under distribution shift, resulting in two papers: a variational pretraining framework for weather time series (AAAI 2026 Oral), and a pruning-based jailbreak defense for LLMs (EMNLP Workshop 2024).

Beyond work, I do have some hobbies. I cook passionately to avoid starvation (proof), read dead philosophers, and lift heavy objects calmly yet furiously. I also co-authored two math textbooks and built a free college admissions GPT. Both make high school students cry, but for completely different reasons.