Linxi Liu

Linxi Liu is an Assistant Professor of Statistics at the University of Pittsburgh’s Dietrich School of Arts and Sciences, Department of Statistics, and serves as Seminar Coordinator. She previously held a Term-Assistant Professorship at Columbia University (2016–2020) and earned her Ph.D. in Statistics from Stanford University in 2016.

Her research focuses on Nonparametric Statistics, Bayesian Methods, Multiple Hypothesis Testing, Statistical Machine Learning, and Statistical Genetics. These areas intersect computational methods with applications in genomics and causal inference, particularly in identifying causal variants in genome-wide association studies.

Recent publications highlight contributions to Bayesian unsupervised tree models, knockoff-based methods for causal variant identification, and high-dimensional statistical testing. Her work bridges theoretical advancements with practical applications in biomedical research.

Dr. Liu teaches a range of courses including Intermediate Probability, Statistical Computing, and Advanced Statistical Methods. Her CV and webpage provide additional details on her academic contributions and current projects.