Honglang Wang, PhD

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Honglang Wang is an researcher and teacher about data science, Statistics! He is an Associate Professor in the Department of Mathematical Sciences, School of Science, Indiana University Indianapolis.

Education

PhD in Statistics (2015): Department of Statistics and Probability, Michigan State University. Advisors: Yuehua Cui and Ping-Shou Zhong.
Dual PhD in Quantitative Biology (2015): Natural Science, Michigan State University. Advisors: C. Robin Buell and Yuehua Cui.
MS in Mathematics (2010): Center of Mathematical Sciences, Zhejiang University. Advisor: Kefeng Liu.
BS in Mathematics and Applied Mathematics (2007): Department of Mathematics, Tianjin University, Tian, China.

See my Curriculum Vitae for more information.

Research Interests

Statistical Analysis for Longitudinal and Functional Data
High Dimensional Statistical Inference and its Applications
Causal Inference
Machine Learning/Deep Learning
Nonparametric Statistics
Empirical Likelihood Methods and its Applications
Statistical Genetics and Statistical Genomics

Honglang Wang, PhD

Recent Posts

Statistics Seminar: How to Do Research in the AI Age: A Guide for PhD Students

Statistics Seminar: Adaptive Shared-Basis Learning for Subject-Specific Density Estimation

Yishan Cui Thesis Defense: Advancement of Inferences for Genetic/Treatment Effects under Semiparametric Models