Stats Faculty Regular

Assistant Professor, Electrical and Computer Engineering

Research aims to develop mathematical understandings of the efficiency and robustness of deep neural network models to make deep learning usable in real world tasks, with applications spanning from computer vision, generative model and natura

Assistant Professor, Computer Science

Visual analytics, data science, and machine learning, with particular emphasis on developing interactive dimensionality reduction methods and multimodal interfaces for high-dimensional data analysis.

Associate Professor, Molecular & Cellular Biology, University of Arizona

Cancer Systems Biology

Assistant Professor, Computer Science, University of Arizona

End to end optimization of agentic workflows, including development, tuning, and deployment Anomaly Detection Algorithms and Systems AI (LLM) for Data Management, Data Management for AI (LLM) Distributed/Cloud Databases Data Lakes

Department Head, Agricultural and Resource Economics

Professor, Ecology and Evolutionary Biology

Theoretical population genetics, phylogenetic inference especially in deep time, occasional work on stochastic models also in theoretical ecology, epidemiology, and economics.

Professor of Aerospace and Mechanical Engineering

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.