Gopala Krishna Anumanchipalli Division of Computer Science (EECS) biosystems and computational biology, artificial intelligence, cyber-physical systems and design automation, human-computer interaction, signal processing, intelligent systems and robotics
Lisa Barcellos School of Public Health public health, genetic epidemiology, human genetics, autoimmune diseases, Multiple Sclerosis, systemic lupus erythematosus, rheumatoid arthritis, epigenetics, genomics, computational biology
Steven E. Brenner Dept of Bioengineering Dept of Molecular & Cell Biology Dept of Plant and Microbial Biology molecular biology, computational biology, evolutionary biology, bioengineering, structural genomics, computational genomics, cellular activity, cellular functions, personal genomics
Sandrine Dudoit School of Public Health Dept of Statistics statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Lin He Dept of Molecular & Cell Biology comparative genomics, developmental biology, cell biology, cancer biology
Ian Holmes Dept of Bioengineering computational biology, molecular evolution, computational genomics, Systems and Synthetic Biology
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
John Huelsenbeck Dept of Integrative Biology computational biology, evolutionary biology, phylogenetics
Nilah Ioannidis Division of Computer Science (EECS) computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Mohammad Reza Kaazempur Mofrad Dept of Bioengineering Dept of Mechanical Engineering molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine
Preeya Khanna Dept of Neuroscience Division of Electrical Engineering (EECS) biosystems and computational biology, human-computer interaction, signal processing
Chunlei Liu Division of Electrical Engineering (EECS) brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing
Rikky Muller Division of Electrical Engineering (EECS) integrated circuits, biosystems and computational biology, micro/nano electro mechanical systems
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Satish Rao Division of Computer Science (EECS) combinatorial optimization, design and analysis of algorithms
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Aaron Streets Dept of Bioengineering bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics
Peter Sudmant Dept of Integrative Biology genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics
Grigory Tikhomirov Division of Computer Science (EECS) bioengineering, nanofabrication, nanorobotics, biosystems and computational biology, energy, integrated circuits, micro/nano electro mechanical systems, physical electronics
Denis Titov Dept of Molecular & Cell Biology Dept of Nutritional Sciences & Toxicology metabolism, aging, systems biology, computational biology
Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies
Gopala Krishna Anumanchipalli
Gopala Krishna Anumanchipalli
Gopala Krishna Anumanchipalli
