Taha Toghani, Ph.D.

My name is Taha Toghani. I am a Quantitative Researcher at Cubist Systematic Strategies (Point72), where I develop advanced machine learning and optimization methods for modeling financial markets.

I completed my Ph.D. in Electrical and Computer Engineering at Rice University, advised by Professor César A. Uribe, and earned a dual B.Sc. in Electrical Engineering and Computer Science from Sharif University of Technology. My research interests include deep learning, time-series modeling, distributed and federated learning, and large-scale training. I have previously worked as a research intern at Microsoft on large language model compression and at Yahoo Research on personalized federated learning.