About Me

Hi, I'm Juan! I'm a graduate student at the University of Toronto, where I conduct research as part of the Dynamic Optimization & Reinforcement Learning Lab, led by Professor Chi-Guhn Lee. My research interests lie in the theory and application of artificial intelligence (AI) in real-world, safety-critical settings. My current research focuses on developing machine learning frameworks and algorithms that incorporate risk into the learning, planning, and decision-making processes of autonomous agents operating in dynamic, uncertain, and safety-critical environments.

Biography

I hold a degree in mechanical engineering with a minor in mathematics from the University of Alberta. I am a licensed Professional Engineer (P.Eng.) with over five years of experience in industry. Over the years, I've had the opportunity to work on a variety of projects that span a broad range of topics, including machine learning, robotics, control theory, and data science. In my spare time, I enjoy swimming, watching movies, and learning new things.