Hi, I'm Juan! I'm a PhD student at the University of Toronto, where I conduct research as part of the Dynamic Optimization & Reinforcement Learning Lab. 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 the notions of risk and safety into the learning, planning, and decision-making processes of autonomous agents operating in dynamic, uncertain, and safety-critical environments.
I hold a degree in engineering with a minor in mathematics from the University of Alberta. I have over five years of experience in industry, where I've contributed to projects that span a broad range of topics, including machine learning, robotics, software engineering, and data science. In my spare time, I enjoy swimming, watching movies, and learning new things.
Juan S. Rojas, Chi-Guhn Lee
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Reinforcement Learning Journal
Juan S. Rojas, Chi-Guhn Lee
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ASME International Pipeline Conference
Daryl Bandstra, Juan S. Rojas, Alex Fraser, Mari Shironishi
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ASME International Pipeline Conference
Daryl Bandstra, Alex Fraser, Juan S. Rojas
Paper