Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies
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
Xavier Darzacq Dept of Molecular & Cell Biology transcription regulation during cellular differentiation, gene expression control mechanism, biophysical rules of nuclear organization
Douglas Dreger Dept of Earth and Planetary Science wave propagation, Inverse theory, geophysics, Earthquake strong ground motion, Seismic source modeling, Seismic forensics, Nuclear explosion monitoring, Induced seismicity, Volcanic seismicity
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Joseph M. Hellerstein Division of Computer Science (EECS) computer science, database systems, distributed systems
Jennifer Anne LaFleur School of Journalism Data journalism, investigative journalism, disability, inequality, criminal justice
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
Nina Maggi Kelly Dept of Environmental Science, Policy & Management remote sensing, drones, ecosystem sciences, forests, geoinformatics, participatory web, GIS
Alexandre Mas Haas School of Business labor markets, human resources, data analysis and statistical methods
Marcia C. Linn School of Education artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
John Clarke Dept of Physics nuclear magnetic resonance, physics, noise limitations, applications of superconducting quantum interference devices, low-transition temperature, axion detectors, sensing of magnetically-tagged biomolecules, nondestructive evaluation
Benjamin Wong Blonder Dept of Environmental Science, Policy & Management climate change, science education
Paul Schwartz School of Law privacy, information privacy law, data protection law, law and technology
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
Steven Weber Dept of Political Science School of Information political science, international security, international political economy, information science
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
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
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
Mark van der Laan
