Michael O'Hare Goldman School of Public Policy public policy, quantitative methods, environmental policy, public management, arts policy
Preeya Khanna Dept of Neuroscience Division of Electrical Engineering (EECS) biosystems and computational biology, human-computer interaction, signal processing
Ian Holmes Dept of Bioengineering computational biology, molecular evolution, computational genomics, Systems and Synthetic Biology
Jonathan Shewchuk Division of Electrical Engineering (EECS) scientific computing, computational geometry (especially mesh generation, numerical robustness, surface reconstruction, numerical methods, machine learning, physically-based animation
Ziqi Wang Dept of Civil and Environmental Engineering structural engineering, mechanics and materials, structural reliability, earthquake engineering, uncertainty quantification
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
Ian Swinburne Dept of Molecular & Cell Biology vertebrate physiologies, quantitative cell biology, development biology
Francisco Armero Dept of Civil and Environmental Engineering computational mechanics, nonlinear continuum mechanics
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Jack L. Gallant Dept of Neuroscience computational neuroscience, vision science, attention, fMRI, language, natural scene perception, brain encoding, brain decoding
James A. Sethian Dept of Mathematics mathematics, applied mathematics, partial differential equations, computational physics, level set Methods, computational fluid mechanics and materials sciences, fast marching methods
Christian Borgs Division of Computer Science (EECS) theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
David Foster Dept of Neuroscience behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf
Ming Gu Dept of Mathematics mathematics, scientific computing, numerical linear algebra, convex optimization
Jaijeet Roychowdhury Division of Electrical Engineering (EECS) artificial intelligence, cyber-physical systems and design automation, computer architecture & engineering
Kyle Steinfeld Dept of Architecture design computation, architectural representation, design methods, Generative AI, artificial intelligence, creativity, ideation and creativity
Dara O'Rourke Dept of Environmental Science, Policy & Management globalization, sustainability, labor and environmental policy, supply chains, consumers, information-based regulation, environmental justice, sustainability transitions, disruptive innovation
Shawn Kim Haas School of Business determinants and consequences of voluntary disclosure, corporate governance, insider trading, accounting information and capital markets, capital markets, incentives, corporate social responsibility, sustainability, climate change
Eric T. Meyer School of Information social informatics, digital transformation, knowledge, social and cultural studies
Anne Collins Dept of Psychology learning, decision making, computational modeling, executive functions
Susan Marqusee Dept of Chemistry Dept of Molecular & Cell Biology amino acids, determinants of protein structure and folding, biophysical, structural and computational techniques, translocation, protein synthesis
Maryam Hosseini Dept of City & Regional Planning computer vision, pedestrian mobility, urban accessibility, walkability