I am the tenured Eugene Anson Stead, Jr. M.D. Associate Professor at the Departments of Biostatistics & Bioinformatics, Computer Science, Mathematics, and Statistical Science at Duke University and an adjunct faculty member at the Department of Statistics, University of Wisconsin-Madison. I received my PhD from the University of Pennsylvania in 2015 (advised by T. Tony Cai) and my Bachelor's degree in mathematics from Peking University in 2010.

I received the IMS Tweedie Award (2022), ASA Gottfried E. Noether Junior Award (2021), Bernoulli Society New Researcher Award (2021), ICSA Outstanding Young Researcher Award (2021), NSF CAREER Award (2020).

Some key words of my research: tensor learning, high-dimensional statistical inference, statistical learning theory, functional data analysis, non-convex optimization, applications in electronic health records, microbiome studies, computational imaging, ... You can find a list of our group's publications from the tab above, on arXiv, or on Google Scholar.

Our group is actively looking for motivated members to work on (1) methodology and theory development in machine learning and statistics and/or (2) applications in AI Health.

For prospective PhD students: Please apply to the PhD programs in Biostatistics & Bioinformatics, Computer Science, Computational Biology and Bioinformatics, Mathematics, or Statistical Science. Prospective PhD students interested to work with me should mention this on their applications.

A postdoc position is available. Joint supervision with other faculty with interests on the foundation of machine learning at Duke CS, ECE, Fuqua, Math, Statistical Science are possible based on your background/interests and further discussions.


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