Yehya Farhat

I am a second year PhD student in the Computer Science department at Rice University, advised by Anastasios Kyrillidis. I am also part of the AI OWLS Ken Kennedy institute research cluster.

My overarching research goal is to develop scalable, rigorous, and efficient methods for training and deploying large-scale AI systems. My work spans several interconnected areas: convex and non-convex optimization, distributed training, model compression, Mixture-of-Experts, and continual learning. I am also keenly interested in leveraging AI agents in real-world settings to solve critical bottlenecks in scientific and industrial domains.

I was a research scholar at Syracuse University, where I worked with Prof. Venkata Gandikota. I previously earned an M.Sc. in Computer Science from Syracuse University, where I completed a thesis under the supervision of Prof. Ferdinando Fioretto. Before that, I received a B.Sc. in Computer Science with a minor in Mathematics from the American University of Beirut (AUB).

In my free time, I enjoy playing chess, staying active by playing football, and hitting the gym. I am also an avid writer passionate about sharing intriguing scientific topics I encounter. To stay updated, you can find and follow me on Medium.