Jennifer A. Doudna Dept of Chemistry Dept of Molecular & Cell Biology RNA machines, hepatitis C virus, RNA interference, ribosomes, x-ray crystallography, cryo-electron microscopy, CRISPR-Cas9 genome editing
Kathleen Collins Dept of Molecular & Cell Biology retrotransposon, reverse transcriptase, genome engineering, RNA sequencing
Donald Rio Dept of Molecular & Cell Biology molecular genetics, drosophila melanogaster, transposable elements, RNA splicing, neurodegenerative diseases, nucleic acid rearrangement reactions, P elements and their cellular host
Jamie H. D. Cate Dept of Chemistry Dept of Molecular & Cell Biology protein synthesis by the ribosome, RNA, antibiotics, human translation, escherichia coli
Peter Sudmant Dept of Integrative Biology genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics
Robert Tjian Dept of Molecular & Cell Biology eukaryotic molecular biology; biochemistry, cellular differentiation, chromatin function, RNA synthesis, single cell imaging, single molecule imaging
Andrea Gomez Dept of Molecular & Cell Biology neurobiology, RNA splicing, synaptic plasticity, psychedelic biology, electrophysiology, two-photon imaging, molecular genetics, molecular biology
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Jennifer A. Doudna
Jennifer A. Doudna
Jennifer A. Doudna
