Christopher E. Dames Dept of Mechanical Engineering nanostructured materials, thermal rectification, graphene, microscale heat transfer, nano scale heat transfer
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Claudia P. Ostertag Dept of Civil and Environmental Engineering energy, environmental analysis of civil infrastructure systems, structural engineering, mechanics and materials
Eva Nogales Dept of Molecular & Cell Biology cryo-EM, biochemistry, complex biological assemblies, structure and regulation of the cytoskeleton, microtubule dynamics, human transcriptional initiation machinery, epigenetics, gene silencing, biophysics
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Philip Marcus Dept of Mechanical Engineering algorithms, fluid mechanics, nonlinear dynamics, atmospheric flows, convection, ocean flows, numerical analysis, wind energy, Bayesian optimization, neural networks, turbulence, planet formation, internal gravity waves, inertial waves, desalination, protoplanetary disks
Jon Wilkening Dept of Mathematics applied mathematics, numerical analysis, computational solid and fluid mechanics
Evan Variano Dept of Civil and Environmental Engineering fluid mechanics, turbulence, wetlands, imaging, plankton, sediment transport
Per-Olof Persson Dept of Mathematics applied mathematics, numerical methods, computational fluid and solid mechanics
Michael Frenklach Dept of Mechanical Engineering chemical kinetics, computer modeling, uncertainty quantification, combustion chemistry, pollutant formation (carbon black, soot), chemical vapor deposition of diamond films, homogeneous nucleation of silicon, diamond and graphene, diamond powders; interstellar dust formation
Xavier Darzacq Dept of Molecular & Cell Biology transcription regulation during cellular differentiation, gene expression control mechanism, biophysical rules of nuclear organization
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Aila Matanock Dept of Political Science post-conflict elections, policing, peace processes, civil conflict, foreign intervention, armed actor governance, armed actor social support, counterinsurgency, survey experiments, mixed-method research design, Central America, Colombia, Solomon Islands, West Africa
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
Mark Tanouye Dept of Environmental Science, Policy & Management Dept of Molecular & Cell Biology genetics, neuroanatomy, electrophysiology, mechanisms of nervous system structure and function, drosophila mutants
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Aditi Krishnapriyan Dept of Chemical & Biomolecular Engineering Division of Computer Science (EECS) machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
Christopher E. Dames
