Yehya Farhat

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I am a first 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 broad research objective is to develop scalable and rigorous methods for explaining and enhancing AI models. Additionally, I am keenly interested in applying machine learning to overcome a broad spectrum of bottlenecks encountered in real-world engineering and scientific challenges.
I’m interested in the following research themes:

  • Leveraging AI models to tackle complex engineering and scientific problems

  • Understanding the expressive capabilities of deep learning models through a theoretical lens

  • Convex and Non-Convex Optimization

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 check out and subscribe to my newsletter below! Or find me on Medium.

Newsletter

News

Jun 10, 2025 Check out our new paper on Decentralized MoEs
Apr 24, 2024 I will be starting my Ph.D. @Rice University in fall 2024