Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
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
Venkatesan Guruswami Dept of Mathematics Division of Computer Science (EECS) theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
Haiyan Huang Dept of Statistics applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
Rachel Carlson Dept of Environmental Science, Policy & Management marine ecology, land-sea connectivity, coastal resilience, geospatial data, ocean policy and governance, social-ecological dynamics, coral reef, California current system
Marta Gonzalez Dept of City & Regional Planning Dept of Civil and Environmental Engineering human mobility, network science, complex systems, urban science, spending behavior, urban vulnerability and resilience, climate change
Perry de Valpine Dept of Environmental Science, Policy & Management population ecology, mathematical modeling and statistics
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
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
Christian Borgs Division of Computer Science (EECS) theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
Mark Haiman Dept of Mathematics mathematics, algebraic geometry, algebra, combinatorics, diagonal coinvariants, Hilbert schemes
Alvin Cheung Division of Computer Science (EECS) program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Lee Fleming Dept of Industrial Engineering & Operations Research commercializing breakthroughs, invention, innovation, patents, big data, ethics and technology, leadership
Mary K. Firestone Dept of Environmental Science, Policy & Management soils, miicrobial biology, environmental science
Kai Vetter Dept of Nuclear Engineering nuclear physics, radiation detection, nuclear instrumentation, nuclear measurements, multi-sensor systems and data fusion, radiological resilience
Peng Ding
Peng Ding
Peng Ding
