I am a Ph.D. candidate in the Department of Statistics at the University of Michigan, where I am very fortunate to be advised by Prof. Gongjun Xu and Prof. Xuming He. Prior to coming to Michigan, I received my B.S. in Statistics from the University of Science and Technology of China (USTC) in 2016.
My first name can be pronounced as "In-cho", and my name in Chinese is 何吟秋.
I am broadly interested in developing theory and methodology for analyzing large-scale and complex-structured data to address scientific problems arising from interdisciplinary studies. My current research interests include high-dimensional and large-scale statistical inference, rare-event simulation, mediation pathway analysis, network analysis, statistical machine learning, and also applications in statistical genetics and genomics and metabolomics.
Accepted & Published:
Y. He, G. Xu, C. Wu, and W. Pan (2020). Asymptotically Independent U-Statistics in High-Dimensional Testing.
Annals of Statistics, accepted.
(An earlier version of this paper received JSM Travel Award, Biometrics Section, American Statistical Association.)
Y. He, T. Jiang, J. Wen, and G. Xu (2020). Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension.
Statistica Sinica, accepted. [DOI]
Y. Deng*, Y. He*, G. Xu, and W. Pan (2020). Speeding Up Monte Carlo Simulations for the Adaptive Sum of Powered Score Test with Importance Sampling. (* Co-first author)
Y. He, Z. Wang, and G. Xu (2020). A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis.
Y. He and G. Xu (2018). Estimating Tail Probabilities of the Ratio of the Largest Eigenvalue to the Trace of a Wishart Matrix.
Journal of Multivariate Analysis, 166, 320-334. [DOI]
7. Y. He, P.X.K. Song, and G. Xu (2020). Adaptive Bootstrap Tests for Composite Null Hypotheses in the Mediation Pathway Analysis.
Honors and Awards
During the time at the University of Michigan:
IMS Hannan Graduate Student Travel Award, Institute of Mathematical Statistics. (2020)
JSM Travel Award, Biometrics Section, American Statistical Association. (2020)
Rackham Predoctoral Fellowship, Rackham Graduate School, University of Michigan. (2020-2021)
Proposal Award of Shark Tank for Research Ideas in Data Science & Statistics (STRIDES), Departments of Biostatistics and Statistics, University of Michigan. (2020)
Rackham International Student Fellowship, Rackham Graduate School, University of Michigan. (2017)
During the time at the University of Science and Technology of China:
Undergraduate Thesis Award, University of Science and Technology of China. (2016)
Samsung Scholarship, University of Science and Technology of China. (2015)
National Encouragement Scholarship, Ministry of Education, P.R. China. (2014)
National Scholarship, Ministry of Education, P.R. China. (2013)
Outstanding Freshman Scholarship, University of Science and Technology of China. (2012)
STATS 413: Applied Linear Regression. (Undergraduate upper level, lab instructor) Winter 2018, Fall 2018, and Winter 2019.
STATS 401: Applied Statistical Methods II. (Undergraduate upper level, lab instructor) Fall 2017.
STATS 250: Introduction to Statistics and Data Analysis. (Undergraduate cross-disciplinary, lab instructor) Winter 2017.
STATS 425: Introduction to Probability. (Undergraduate upper level, grader) Fall 2016.
Paper award talk, Joint Statistical Meeting 2020, Virtual Conference. (08/2020)
Invited poster, Joint Statistical Meeting 2020, Virtual Conference. (08/2020)
Speed oral, Michigan Student Symposium for Interdisciplinary Statistical Sciences 2020, Ann Arbor, MI. (03/2020)
Poster, The Fourth Workshop on Higher-Order Asymptotics and Post-Selection Inference, St. Louis, MO. (08/2019)
Contributed talk, Joint Statistical Meeting 2019, Denver, CO. (07/2019)
Poster, Michigan Student Symposium for Interdisciplinary Statistical Sciences 2019, Ann Arbor, MI. (05/2019)
Contributed talk, Joint Statistical Meeting 2018, Vancouver, BC, Canada. (08/2018)