Bethany L. Goldblum Dept of Nuclear Engineering applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Alistair Sinclair Dept of Statistics Division of Electrical Engineering (EECS) algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
David Sunding Dept of Agricultural & Resource Economics environmental economics, industrial organization, applied econometrics, law and economics
Nick Tsivanidis Dept of Economics Haas School of Business urban and regional economics, development economics, applied econometrics
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Manisha Shah Goldman School of Public Policy applied microeconomics, international development, global health, gender
Franziska Weber Dept of Mathematics applied mathematics, mathematical analysis, numerical analysis, nonlinear partial differential equations
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Kevin Weiner Dept of Neuroscience Dept of Psychology visual perception, face processing, comparative neuroanatomy, development, translational applications for patient populations
Johann Frick Dept of Philosophy moral philosophy, political philosophy, practical reason, applied ethics
Sunčica Čanić Dept of Mathematics applied mathematics, partial differential equations, computational methods, biomedical research
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Sydnee Caldwell Dept of Economics Haas School of Business personnel economics, labor economics, gender wage gap, applied microeconomics
Bethany L. Goldblum
Bethany L. Goldblum
Bethany L. Goldblum
