John W. Morris, Jr Dept of Materials Science and Engineering structural materials, computational materials, the limits of strength, deformation mechanisms, non-destructive testing with SQUID microscopy, mechanisms of grain refinement in high strength steels, lead-free solders for microelectronics
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Sanjit Seshia Division of Computer Science (EECS) Division of Electrical Engineering (EECS) formal methods, computational logic, electronic design automation, computer security, dependable computing, Cyber-Physical Systems, programming languages
Jennifer Chayes Dept of Mathematics Dept of Statistics Division of Computer Science (EECS) phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Daryl C. Chrzan Dept of Materials Science and Engineering materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures
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
Grigory Tikhomirov Division of Computer Science (EECS) bioengineering, nanofabrication, nanorobotics, biosystems and computational biology, energy, integrated circuits, micro/nano electro mechanical systems, physical electronics
Eileen D. Gambrill School of Social Welfare social welfare, professional ethics and education, social learning theory, behavioral methods
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Katherine A. Yelick Division of Computer Science (EECS) high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology
Jingshen Wang School of Public Health precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Dor Abrahamson School of Education mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
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
Isaac L. Bleaman Dept of Linguistics sociolinguistics, language contact, language change, language maintenance, computational linguistics, syntax, phonetics, Yiddish, Jewish languages
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Adrian Aguilera Computational Precision Health Program School of Social Welfare digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Dana Miller-Cotto School of Education educational equity, early childhood education, cognitive processes, early math learning, social contexts of education