Gabriel Díaz Ramos

I am a Fulbright Scholar and an Applied Physics PhD student at Rice University, working under the guidance of Dr. Richard Baraniuk. My current research focuses on statistical machine learning methods for privacy-preserving synthetic data generation. I also hold an MSc in Applied Physics from Rice University, where my thesis addressed shortest path solutions for connecting multiple terminals via deep learning. I am passionate about applying machine learning and AI to problems at the intersection of physics, education, and optimization, with a particular interest in scalable solutions where traditional methods face fundamental limitations.