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I am a Data Scientist Intern at Infineon Technologies, where I build recommendation systems using Graph Neural Networks and Transformers to help customers find better products. I also work on improving search ads to increase company revenue.
I recently finished my PhD in Mathematics at the University of Kentucky, working with Qiang Ye. My research covered Deep Learning, Applied Mathematics, Natural Language Processing, Computer Vision, Algorithm Development, Drug Design, Robotics, and Model Predictive Control. During the summers of 2023 and 2024, I was a Research Intern at SRI International, working with David Zhang and Zachary Daniels. I created a more efficient Transformer model, developed two new methods to help AI systems learn continuously without forgetting old information, and introduced new concepts in Hyperdimensional Computing.
Curriculum Vitae
