Stats Faculty Regular

Liliana Salvador

Assistant Professor, Animal & Comparative Biomedical Sciences
Multidisciplinary approach to study the dynamics of zoonotic infectious diseases. We develop computational, mathematical and data-driven models to understand the ecology and evolution of infectious diseases at the wildlife, livestock and human interface.

Alexander Bucksch

Associate Professor - School of Plant Sciences
​​Our​ research is motivated by the threads that climate change imposes on the agricultural and natural plant ecosystem. Therefore, we develop imaging and simulation approaches to understand the function of natural variation in plants

Lifeng Lin

Associate Professor, Epidemiology and Biostatistics
Dr. Lin has worked extensively on statistical methods for meta-analysis, network meta-analysis of multiple-treatment comparisons, publication bias, and Bayesian methods. He is also interested in the applications of statistical methods to real-world proble

Jingjing Liang

Assistant Research Professor, R Ken Coit College of Pharmacy
Statistical genetics and genomics, including computational methods for analyzing large-scale sequencing data, rare variant association analysis, genomics-driven drug target discovery and precision medicine

Yiwen Liu

Assistant professor of Epidemiology and Biostatistics
Dimension reduction and variable selection, big data analytics, data integration

Afrooz Jalilzadeh

Assistant Professor of Systems and Industrial Engineering
Research is focused on the design, analysis, and implementation of stochastic approximation methods for solving convex optimization and stochastic variational inequality problems with applications in machine learning, game theory, and power systems.

Hongxu Ding

Assistant Professor, Translational Pharmacogenomics
Single-cell analysis, nanopore sequencing. His lab develops computational biology approaches to interpret single-cell omics profiles and nanopore sequencing readouts.

Bruce Walsh

Professor, Ecology and Evolutionary Biology
Biostatistics; Statistical genetics/genomics; Mixed models; Bayesian analysis; Resampling and MCMC methods.