Hi, I'm Hadi! I'm a second year Computer Science PhD student at Harvard. I am very fortunate to be advised by Prof. Flavio Calmon.

My research focuses on developing robust and scalable tools for AI post-training. I aim to re-engineer training and evaluation workflows to target complex capabilities directly without relying on noisy proxies. By grounding these workflows in theoretical rigor, my goal is to build AI systems that are capable of helping us address our most complex and important challenges.

Before starting my PhD, I was a research intern at the Economics Department at Harvard, where I worked on partial identification and algorithmic game theory. I also worked in machine learning for urban planning at the Beirut Urban Lab and in computational nuclear engineering at MIT as a Research Science Institute fellow.

I am always happy to chat about research on hadikhalaf [at] g dot harvard dot edu.