Stats Faculty Regular

Associate Professor of Management Information Systems

Research Focuses: data mining, machine/deep learning, AI, recommender systems, and healthcare analytics.

Assistant Professor, Hydrology and Atmospheric Sciences

Research interests include computational hydrology, with a focus on deep learning, physically based models and hybrid differentiable models. Also scientific computing and open science.

Professor and Department Head, Physiology

The Liang group studies molecular systems medicine. The current work in our group focuses on three areas: (epi)genomics and precision medicine, regulatory RNA, and cellular metabolism, as they relate to hypertension, cardiovascular and kidney disease.

Professor, Pharmacy Practice and Science

Algorithms and ML methods for genomics, drug discovery, and animal tracking.

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.

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

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

Assistant professor of Epidemiology and Biostatistics

Dimension reduction and variable selection, big data analytics, data integration

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.

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.