基本信息
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个人简介
My primary research interests lie in developing effective statistical and machine learning methods for high-dimensional “objects” with low-dimensional underlying structures. Examples of these objects include images, surfaces, networks, and time-indexed paths on non-linear manifolds, coming from neuroscience, computer vision, epidemiology, genomics, and meteorology.
Most of my recent studies focus on developing novel machine learning methods to extract knowledge from large neuroimaging datasets. With advancements of in vivo brain imaging techniques, large-scale neuroimaging datasets containing more than 10k subjects can be easily accessed now. With large samples, we can gain more statistical power, a narrower margin of error, and reproducible results, but we also face modeling and computational challenges. I am dedicated to discovering efficient, elegant, and practical solutions to these challenges.
研究兴趣
论文共 119 篇作者统计合作学者相似作者
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Mina Mišić, Noah Lee,Francesca Zidda, Kyungjin Sohn,Katrin Usai,Martin Löffler, Md Nasir Uddin, Arsalan Farooqi,Giovanni Schifitto,Zhengwu Zhang,Frauke Nees,Paul Geha,
bioRxiv : the preprint server for biology (2024)
arxiv(2023)
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arXiv (Cornell University) (2023)
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arxiv(2023)
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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JOURNAL OF MACHINE LEARNING RESEARCH (2023)
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arxiv(2023)
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JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATIONno. 541 (2023): 22-24
arxiv(2022)
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