Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Rosemary G. Gillespie Dept of Environmental Science, Policy & Management systematics, insect biology, evolution and conservation biology, spiders, oceanic islands
Adrienne Correa Dept of Environmental Science, Policy & Management global change microbial ecology, coral reef symbioses, environmental virology
Alejandra Echeverri Ochoa Dept of Environmental Science, Policy & Management conservation science, neotropical biodiversity, conservation psychology, community ecology, cultural values of nature, women/Latinx in STEM
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Thibaut Mastrolia Dept of Industrial Engineering & Operations Research stochastic control, game theory, finance, optimization
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Chiwei Yan Dept of Industrial Engineering & Operations Research transportation and logistics systems, online platforms
Miranda Redmond Dept of Environmental Science, Policy & Management forest ecology, disturbance ecology, forest management
Roshanak Kheshti Dept of Theater, Dance, and Performance Studies race, gender, queer theory, anthropology, sound studies, film, performance studies, diaspora, psychoanalysis
Inez Fung Dept of Environmental Science, Policy & Management climate change, carbon cycle, terrestrial biosphere
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
Janelle Scott School of Education Dept of African American Studies educational policy, charter schools, politics of education, race and education, school choice, desegregation, philanthropy and education, advocacy
Daniel Sargent Dept of History Goldman School of Public Policy American history, International History, contemporary History
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Travis J. Bristol Dept of African American Studies School of Education race and gender, urban schooling, organizational contexts of teachers' work, educational equity, African American students in schools
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
James Demmel Dept of Mathematics Division of Computer Science (EECS) computer science, scientific computing, numerical analysis, linear algebra
Robert Birgeneau Dept of Physics Goldman School of Public Policy physics, phase transition behavior of novel states of matter
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Venkatesan Guruswami Dept of Mathematics Division of Computer Science (EECS) theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
Preeya Khanna Dept of Neuroscience Division of Electrical Engineering (EECS) biosystems and computational biology, human-computer interaction, signal processing