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,...
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...
Rebecca Smith is an epidemiologist with an interest in co-morbidities. Smith has extensive training in statistics, with a specialization in longitudinal data analysis and a strong background in risk analysis and disease modeling. Smith has collaborated with other CCIL...
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...
Mohammed El-Kebir has worked on various cancer research topics, including tumor phylogenetics in the context of intra-tumor heterogeneity. El-Kebir develops algorithms to study the progression of a tumor from its initial stage, where the healthy cell first mutates, to...
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...
