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个人简介
My research interests center around the question: how can we develop biologically-principled machine learning algorithms to solve difficult medical problems, with the same level of real-world success as in computer vision and NLP?
Specifically, I am interested in using self-supervised techniques to develop generalizable representations for genomic sequences, by improving upon new algorithms in computer vision and natural language processing (NLP). I am also broadly interested in protein engineering, algorithmic fairness, and clinical decision support.
Specifically, I am interested in using self-supervised techniques to develop generalizable representations for genomic sequences, by improving upon new algorithms in computer vision and natural language processing (NLP). I am also broadly interested in protein engineering, algorithmic fairness, and clinical decision support.
研究兴趣
论文共 15 篇作者统计合作学者相似作者
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Proceedings of the ACM Conference on Health, Inference, and Learning (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019) (2019): 1852-1860
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Journal of Digital Imagingno. 3 (2010): 478-484
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (2008)
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