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    Sergio Charles

    Math + CS @ Stanford

    Sergio Charles is a diligent graduate student at Stanford University, specializing in mathematics, computer science, and statistics, focusing on artificial intelligence and machine learning.

    With a background in pure mathematics, reinforcement learning, and natural language processing, Sergio's research interests lie in geometric deep learning and differential geometry, specifically in the context of drug discovery.

    He holds an impressive academic record, including a Master of Science in Statistics, a Bachelor of Science in Mathematics and Computer Science from Stanford University, and has also pursued studies at the University of Oxford and achieved the International Baccalaureate Diploma as a Valedictorian at Lyford Cay International School.

    Sergio has gained valuable experience through various roles, such as his involvement in Quantitative Research at QuantRes, as a CURIS Research Fellow at Stanford Artificial Intelligence Laboratory (SAIL), and as a Deep Learning Research Intern at NVIDIA.

    His contributions as a Research Assistant at Stanford Artificial Intelligence Laboratory (SAIL), coupled with his participation in programs like STS Regeneron at the Society for Science & the Public, underscore his commitment to academic and professional growth.

    To learn more about Sergio Charles and his work, visit his personal website at https://sergiogcharles.github.io/.

    Sergio Charles
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    Location

    Stanford, California, United States