Research
My research centers on the understanding of machine learning models through their representation spaces to gain deeper insights into their behavior. By analyzing their internal states, I aim to uncover the mechanisms of machine learning systems, thereby enabling further advancements and improved performance of these models.
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News
09/2024, One paper accepted by NeurIPS 2024
09/2023, Start my Ph.D. journey at the Dartmouth!
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Honors
2023, Dartmouth Fellowship
2022, Academic Excellence Scholarship
2022, Scientific Research Innovation Scholarship
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Services
Conference Reviewer: NeurIPS 2024, ICLR2025, ICML 2025
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Latest Update: 9/26/2024
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Templates from Jon Barron.
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