Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Karthik Shekhar Dept of Chemical & Biomolecular Engineering cellular and systems biology, statistical inference, single-cell genomics
Gregory Barton Dept of Molecular & Cell Biology immunology, cell biology, infectious disease, innate immunity, Microbiome, autoimmune diseases
David Moore Dept of Nutritional Sciences & Toxicology nuclear receptor molecular biology, gene regulation
Benjamin Blackman Dept of Integrative Biology Dept of Plant and Microbial Biology evolution, adaptation, domestication, phenotypic plasticity, flowering time, evo-devo, genomics, plant biology
Ignacio Chapela Dept of Environmental Science, Policy & Management agriculture, biotechnology, environmental science, microbial biology, policy and management
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
Lance Kriegsfeld Dept of Integrative Biology Dept of Psychology Dept of Neuroscience Neuroendocrinology, NeuroendocrinologyCircadian Biology, cognition, mental health, Neuroimmunology, animal behavior
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Georjana Barnes Dept of Molecular & Cell Biology biochemistry, genetics, cancer, biology, microtubule cytoskeleton, cell cycle controls, cellular imaging
Gary Firestone Dept of Molecular & Cell Biology cancer, steroid hormones, molecular endocrinology, tumor biology, growth factors, dietary compounds, tumor cells, glucocorticoids
Peter Sudmant Dept of Integrative Biology genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics
Michel DuPage Dept of Molecular & Cell Biology immunology, cancer, tumor immunity, immune responses, chronic inflammation and cancer, tumor biology, epigenetics
Hei Sook Sul Dept of Nutritional Sciences & Toxicology biochemistry, molecular and cellular biology, physiology of adipogenesis, thermogenesis, lipogenesis and lipolysis
Krishna K. Niyogi Dept of Plant and Microbial Biology genetics, plant and microbial biology, algae, photosynthesis, CRISPR-Cas9 genome editing, carbon sequestration
Daniel A. Portnoy Dept of Molecular & Cell Biology Dept of Plant and Microbial Biology microbiology, bacteriology, infectious diseases, intracellular pathogens, innate immunity, adaptive immunity, vaccines, cell biology
Richard S. Dodd Dept of Environmental Science, Policy & Management environmental policy, environmental science, forestry, wildlife, plant biology
Preeya Khanna Dept of Neuroscience Division of Electrical Engineering (EECS) biosystems and computational biology, human-computer interaction, signal processing
Guanghan Meng Division of Electrical Engineering (EECS) School of Optometry biomedical optics, clinical science, molecular and cell biology, neuroscience
Sanjay Kumar Dept of Bioengineering Dept of Chemical & Biomolecular Engineering biomaterials, molecular and cellular bioengineering, stem cells, cancer biology, translational medicine
Aaron Streets Dept of Bioengineering bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics
John G. Flannery Dept of Molecular & Cell Biology School of Optometry neurobiology, optometry, vision science, cell and molecular biology of the retina in normal and diseased states
David V. Schaffer Dept of Chemical & Biomolecular Engineering biomolecular engineering, bioengineering, neuroscience, stem cell biology, gene therapy
Gary Karpen Dept of Molecular & Cell Biology gene expression, cell biology, chromosome structure and function, drosophila melanogaster, centromere identity and function, biophysics, condensed phases
Mohammad Reza Kaazempur Mofrad Dept of Bioengineering Dept of Mechanical Engineering molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine
Yun S. Song
Yun S. Song
Yun S. Song
