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I am a Computer Science student at Carnegie Mellon University interested in why machines learn (via pretraining science and interpretability), and how to make them learn (via reinforcement learning). I am fortunate to be in the CMU AI & Reinforcement Learning ("AIRe") lab under the supervision of Prof. Aviral Kumar. Previously, I worked on scaling laws and synthetic data for market foundation models at HRT, RL for tool calling LLMs at Scale AI, and evals at the Center for AI Safety. |
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Carnegie Mellon University
B.S. in Computer Science, 2027 GPA: 3.96/4.0 Relevant Coursework: Machine Learning, Deep Learning, Deep Reinforcement Learning, Deep Learning Systems, Algorithm Design and Analysis, Parallel and Sequential Data Structures and Algorithms, Computer Systems, Vector Analysis, Matrix Theory, Probability and Computing, Neural Computation, etc. |
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10703 - Deep Reinforcement Learning (Teaching Assistant)
Spring 2025, Fall 2025, Fall 2026 |
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| Honor of Kings, Robotics, TCS, and eating |
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Website template from Jon Barron.
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