Holger Mueller Dept of Physics atomic, molecular, optical physics, advanced electron microscopy, cryo-EM
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Edwin Epstein Haas School of Business business ethics, Jewish business ethics, specifically peace, conflict studies
Heather Haveman Dept of Sociology Haas School of Business organizations, economic sociology, entrepreneurship, China, careers and social mobility, gender, social history
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Stefania Pandolfo Dept of Anthropology cultural anthropology, Islam, Middle East, theories of subjectivity, postcolonial criticism, anthropology and literature, the Maghreb, mental illness
James Grantham Turner Dept of English gender, sexuality, English, 16th-18th century English, Italian and French literature, art and literature, 17th century political writing, landscape and the city, Enlightenment materialism, sexuality in Renaissance Italian art and Antiquity, ecocriticism in literature and art
Alexis T. Bell Dept of Chemical & Biomolecular Engineering chemical engineering, heterogeneous catalysts, spectroscopic techniques, chemical reaction engineering
Rich Lyons Haas School of Business stablecoins, foreign exchange markets, culture, innovation, entrepreneurship, online education, blockchains
Dan Feldman Dept of Molecular & Cell Biology Dept of Neuroscience neurobiology, learning, neurophysiology, sensory biology
Hillel Adesnik Dept of Molecular & Cell Biology Dept of Neuroscience neural basis of perception, neuroscience, neurobiology
Mark Wilson School of Education measurement, psychometrics, assessment, development of assessment resources, assessment systems
Hannah Sande Dept of Linguistics phonology, phonological processes, morphology, Kru languages, West Africa, tone and prosody
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Keith Johnson
