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
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
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
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Lee Fleming Dept of Industrial Engineering & Operations Research commercializing breakthroughs, invention, innovation, patents, big data, ethics and technology, leadership
Sara McMains Dept of Mechanical Engineering geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning
Sarah Chasins Division of Computer Science (EECS) programming systems, human-computer interaction, programming languages, programming languages and compilers, program synthesis, data science
Kai Vetter Dept of Nuclear Engineering nuclear physics, radiation detection, nuclear instrumentation, nuclear measurements, multi-sensor systems and data fusion, radiological resilience
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
Ming Wu Division of Electrical Engineering (EECS) silicon photonics, MEMS, photonic integrated circuits, data center networks, 3D sensing, solid state LiDAR, optofluidics
Kam-Biu Luk Dept of Physics physics, particle physics, neutrino oscillation, neutrino mixing parameters, nuclear instrumentation, data mining, neutrino physics
Zaijun Chen Division of Electrical Engineering (EECS) physical electronics, artificial intelligence, computer architecture & engineering, information / data / network / communication science, integrated circuits
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
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
David Whitney Dept of Psychology cognitive neuroscience, cognition, attention, visual perception, vision, visually guided action, human factors
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
Sophia Rabe-Hesketh
Sophia Rabe-Hesketh
Sophia Rabe-Hesketh
