Yehya Farhat

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 |
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Apr 24, 2024 | I will be starting my Ph.D. @Rice University in fall 2024 |