Sandra Rodriguez-Zas is helping find ways to prevent and cure diseases in both livestock and humans. She uses biostatistics and computational approaches to identify biomarkers and molecular pathways associated with health, reproduction, and performance in livestock...
Jian Peng has a broad background in bioinformatics and computational biology, with specific training and expertise in developing statistical and algorithmic methods for biological data analysis. His research includes large-scale data integration, network biology,...
Sihai Dave Zhao conducts methodological research focused on developing rigorous statistical techniques for analyzing large-scale data from high-throughput genetics and genomics experiments. His current work centers on procedures for the integrative analysis of...
Tandy Warnow’s research combines mathematics, computer science, probability, and statistics, in order to develop algorithms with improved accuracy for large-scale and complex estimation problems in computing evolutionary trees (also known as phylogenies) on any...
Emad Tajkhorshid’s lab group has established an extensive research program in developing and applying molecular modeling and simulation technologies to the investigation of structure- and dynamics-function relationships in membrane proteins and characterization...
Jun Song is interested in applying his training in mathematics and physics to problems in biomedical research – he has been applying his computational skills to genomics and epigenomics for over a decade. Song’s research focuses on understanding the...
Olgica Milenkovic, PhD, is a professor of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign (UIUC), and Research Professor at the Coordinated Science Laboratory. She obtained her Masters Degree in Mathematics in 2001 and PhD in...
Saurabh Sinha’s research falls into the area of computational regulatory genomics and big data genomics. His lab group is currently working on quantitative modeling of regulatory sequences (NIGMS R01 grant, 2015-18), with the goal of predicting gene expression levels...
Diwakar Shukla’s research group develops and employs computational chemistry approaches to decipher the mechanisms of regulation of protein function, which play a critical role in governing cellular and organismal behavior. Shukla’s group develops computational and...
Jiawei Han’s lab focuses on discovering effective methods for mining structures from massive unstructured text data and has developed a set of effective and scalable methods. Since 1997, his research has focused on data mining, text mining, information network...
Kevin Chen-Chuan Chang, PhD, is a Professor in Computer Science at the University of Illinois. His research focuses on database and information systems as well as artificial intelligence. His past projects with his group, Far-Out Reach to Worldwide Access and...