Faculty and Professional Interests

Manuel Ares, Jr. (Molecular, Cell, and Developmental Biology)
Gene expression, RNA processing, structure and function of small nuclear RNAs

David Deamer, Emeritus (Chemistry and Biochemistry)

A. Russell Flegal (Environmental Toxicology)
Anthropogenic perturbations of biogeochemical cycles

David Haussler (Computer Science; Director, Institute for Quantitative Biomedical Research)
Genomics, bioinformatics, computational molecular biology, statistical models, machine learning, neural networks, decision theory, theory of computation

Richard Hughey (Computer Engineering)
Computer architecture, parallel processing, computational biology

Kevin Karplus (Computer Engineering, Undergraduate and Graduate Director of Bioinformatics)
Analysis of biological sequences, protein structure prediction

Suresh Lodha (Computer Science)
Scientific visualization, geographic information visualization, sensor and computer vision, image processing, multi-modal human-computer interaction

Todd Lowe (Computer Engineering)
Experimental and computation genomics, ncRNA gene finders, DNA microarrays to study the biology of Archaea

Karen Ottemann (Environmental Toxicology)
Environmental responses to pathogenic bacteria

Carol Rohl (Biomolecular Engineering)
Protein design, protein structure and function prediction; protein-protein interactions

Joshua Stuart (Biomolecular Engineering)
Computational genomics

John Tamkun (Molecular, Cell, and Developmental Biology)
Transcriptional regulation, molecular regulation of Drosophila development, regulation of gene expression

Hongyun Wang (Engineering [Applied Mathematics and Statistics])
Molecular modeling and biophysics, numerical analysis, fluid mechanics, computer animation, partial differential equations, parallel computing, statistical physics, data structures, fast algorithms

Manfred K. Warmuth (Computer Science)
Online learning, machine learning, statistical decision theory, neural computation, analysis of algorithms

W. Todd Wipke (Chemistry and Biochemistry)
Computer design of new drug candidate molecules, computer-assisted instruction, molecular modeling, computational chemistry, molecular engineering, artificial intelligence, chemical information systems, intelligent tutoring systems