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. I am passionate about solving complex physics and mathematical problems using machine learning, AI, and quantum computing. My current research has involved addressing challenging graph-based optimization problems through Recurrent Convolutional Neural Networks (RCNNs). I am particularly focused on applying these tools where traditional methods face scalability limitations. My goal is to develop innovative, scalable solutions that drive progress in various fields like integrated circuit design, network optimization, and robot path planning.