I am a fifth-year doctoral researcher at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Computer and Communication Sciences. My thesis is supervised by Clément Hongler and co-supervised by Wulfram Gerstner.
My research focus is the theory of neural networks and other related areas, such as random features and out-of-distribution generalization. I am a theoretician working at the intersection of mathematics and physics, but I also enjoy large-scale experiments I partook in during a research internship at Meta AI.
I am currently on the job market!
Before my Ph.D., I studied Electrical-Electronics Engineering and Mathematics double-major at Koç University. I also earned two bronze medals in International Mathematical Olympiad (IMO). I am an avid Argentine Tango dancer.
We discuss how the effective ridge reveals the implicit regularization effect of finite sampling in random features. The derivative of the effective ridge tracks the variance of the optimal predictor, yielding an explanation for the variance explosion at the interpolation threshold for arbitrary datasets.