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个人简介
I am broadly interested in statistical machine learning, high-dimensional statistics and optimization. Most recently, I have been working on computationally efficient methods for robust statistics, and their application to safe and reliable machine learning. My PhD is generously supported by JP Morgan AI Research PhD Fellowship.
Apart from theoretical research, I enjoy working with real-world data, particularly noisy data. I represented CMU at Citadel Datathon Finals, and have spent some time interning in quantitative trading at Cubist Systematic Strategies. I am also an avid squash player
Apart from theoretical research, I enjoy working with real-world data, particularly noisy data. I represented CMU at Citadel Datathon Finals, and have spent some time interning in quantitative trading at Cubist Systematic Strategies. I am also an avid squash player
研究兴趣
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user-5f1f7d444c775e3a796188dc(2021)
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NIPS 2020 (2020): 16327-16338
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22ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 89 (2019): 2331-2339
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