Miaoyan Wang's Homepage

I am an assistant professor in the Department of Statistics at the University of Wisconsin-Madison since late 2018. I am also a faculty affiliate in Mathematical Foundations of Machine Learning @ UW-Madison and Institute for Foundations of Data Science (IFDS), a multi-University TRIPODS Phase II Initiative. My research lies in the intersection of statsitics, machine learning, and optimization. Specific interests include theory of machine learning, higher-order tensor methods, high-dimensional and nonparametric statistics.

Prior to UW-Madison, I was a joint postdoc in Computer Science (EECS Department) at UC Berkeley and a Simons Math+X postdoc at University of Pennsylvania. I received my PhD in Statistics from the University of Chicago and BS in Mathematics from Fudan University.

My work is supported by NSF CAREER award DMS-214186 (sole PI), NSF DMS-1915978 (sole PI), and NSF EF-2133740 (UW-Madison PI).

Postdoctral position available. See People for details.

Group News

[05/2022] Our work won 35th New England Statistics Symposium (NESS) Student Research Awards. Congratulations to Chanwoo Lee.

[03/2022] Our work won 2022 Institute of Mathematical Statistics (IMS) Hannan Graduate Student Travel Award. Chanwoo will present the award-wining paper in JSM 2022. Congratulations to Chanwoo Lee.

[01/2022] Our work won 2021 Best Students Paper Award - Honorable Mention by American Statistical Society. Part of the work is accepted by AISTATS 2022. Congratulations to Jiaxin Hu.

[11/2021] Miaoyan Wang received NSF CAREER award. The CAREER is the NSF's most prestigious award in support of early-career faculty. The grant will provide a 5-year $400K support to Miaoyan Wang's group.

[11/2021] Two papers (one oral, one poster) accepted in NeurIPS 2021 Workshop on Quantum Tensor Networks in Machine Learning. Congrautations to Chanwoo Lee and Jiaxin Hu.

[09/2021] Two papers accepted. Congrautations to Chanwoo Lee for his paper on nonparametric tensors being accepted by NeurIPS 2021. Congrautations to Jiaxin Hu and Chanwoo Lee for their paper on generalized tensor decomposition being accpeted by Journal of Computational and Graphical Statistics.

[07/2021] Miaoyan Wang is awarded a collaborative grant through NSF's 10 Big Ideas: Understanding the Rules of Life -- Emergent Networks. The grant will provide a 5-year $3 million support to a multidisciplinary team lead by Daniel Bolnick (PI), Tina Eliassi-Rad (co-PI), and Miaoyan Wang (co-PI).

[07/2021] Jiaxin will be presenting the award-winning paper as Student Paper Award at Joint Statistical Meetings (JSM) . She has also been selected as the session chair for Software on Statistical Computing. Congratulations.

[05/2021] Miaoyan (virtually) visits the long term program Tensor Methods and Emerging Applications to the Physical and Data Sciences at Institute for Pure & Applied Mathematics (IPAM), UCLA.

[05/2021] Chanwoo passes the preliminary exam and proceeds to PhD candidacy. Congratulations!

[04/2021] Miaoyan has recently given invited talks at UC Berkeley, IFDS, Fred Hutchinson Cancer Research, Penn State, ENAR.

[02/2021] Our work won 2021 Best Students Paper Award by American Statistical Society. Congratulations to Jiaxin and Chanwoo!

[02/2021] Our collaborative work with Rungang Han, Yuetian Luo, and their advisor Anru Zhang won 2021 Best Students Paper Award by American Statistical Society. Congratulations!