Tomas Gonzalez

Tomas Gonzalez

ML PhD student @ CMU

I am spending summer 2026 as an intern at Google Research NYC under Monica Ribero.

I’m a PhD student in the Machine Learning Department at Carnegie Mellon University, co-advised by Aaditya Ramdas and Giulia Fanti, and a member of the StatML group. My research is partially supported by the JPMorganChase AI PhD Fellowship.

Previously, I was a visiting graduate student in the Federated and Collaborative Learning program at the Simons Institute. I obtained my MSc from the Institute for Mathematical and Computational Engineering at the Catholic University of Chile, advised by Cristóbal Guzmán. I was also a Student Researcher at Google under Courtney Paquette and Fabian Pedregosa.

Research

I’m broadly interested in the algorithmic and statistical aspects of modern machine learning. I work on problems that I find both practically relevant and intellectually challenging, with research spanning areas such as optimization and generative modeling, primarily under differential privacy constraints.

Publications