Scott Moura Dept of Civil and Environmental Engineering control systems, optimization, data science, batteries, electric vehicles, energy systems
Yaniv Konchitchki Haas School of Business Monetary economics, macroeconomics, macro-finance, Financial-based solutions to world’s grand challenges, capital markets research, financial accounting, FinTech, financial technology and innovation, financial statement analysis, asset pricing, macro-accounting
Thomas Courtade Division of Electrical Engineering (EECS) information theory, probability, data compression, communications, computer science
Sophia Rabe-Hesketh School of Education biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
Sandrine Dudoit Dept of Statistics School of Public Health statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Lee Fleming Dept of Industrial Engineering & Operations Research commercializing breakthroughs, invention, innovation, patents, big data, ethics and technology, leadership
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Aaron Streets Dept of Bioengineering bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Kai Vetter Dept of Nuclear Engineering nuclear physics, radiation detection, nuclear instrumentation, nuclear measurements, multi-sensor systems and data fusion, radiological resilience
Sarah Chasins Division of Computer Science (EECS) programming systems, human-computer interaction, programming languages, programming languages and compilers, program synthesis, data science
Lee Bernstein Dept of Nuclear Engineering nuclear science data, nuclear engineering, experimental nuclear physics, isotopes, nuclear astrophysics, nuclear science, nuclear weapons
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
Kam-Biu Luk Dept of Physics physics, particle physics, neutrino oscillation, neutrino mixing parameters, nuclear instrumentation, data mining, neutrino physics
Cathryn Carson Dept of History science and society, data science, ethics, artificial intelligence, history of science and technology, history of physics, nuclear waste, intellectual history, interdisciplinarity
Susan Irene Stone School of Social Welfare school-based psycho-social services, school-effects, archival data analysis, community development, organizational development, policy development
Clancy Wilmott Dept of Geography critical cartography, media geographies, critical GIS and data studies, cultural memory and landscape, politics of representation - textualization - and visuality, digitalities
Mary Ann Smart Dept of Music opera and politics, music and data, music and language, theater, gender, opera, performance, singers, voice, staging of opera, 19th century music, 19th century Italy
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Trevor Keenan Dept of Environmental Science, Policy & Management global change, natural climate solutions, Dynamic Vegetation, carbon cycle, ecophysiology, land-atmosphere interactions, biogeochemistry, micrometeorology, remote sensing, mathematics and data 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
Scott Moura
