Nilah Ioannidis Division of Computer Science (EECS) computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics
Elizabeth Hoover Dept of Environmental Science, Policy & Management food sovereignty, heirloom seeds, prescribed fire, community based participatory research, environmental justice, food justice, environmental health, wild land firefighters, international fire training
Daniella Cádiz Bedini Dept of Spanish and Portuguese hemispheric American literature, literary exchanges, anticolonial activism, migration, border crossings, translation, linguistic exchange
David E. Wemmer Dept of Chemistry nuclear magnetic resonance, nucleic acids, biophysical chemistry: proteins, NMR spectroscopy, magnetic resonance methods, structure of proteins and DNA, conformational fluctuations, biopolymers
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Simo Mäkiharju Dept of Mechanical Engineering experimental fluid dynamics, fluid dynamics, Cavitation, multiphase flow, drag reduction, ocean renewable energy, particle image velocimetry, Time-Resolved X-Ray Densitometry, Droplet and particle transport
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Dana Miller-Cotto School of Education educational equity, early childhood education, cognitive processes, early math learning, social contexts of education
Philip Tidwell Dept of Architecture architectural form, constructive technique, agency of matter, architecture, timber supply
Franco Zunino Dept of Civil and Environmental Engineering cement chemistry, advanced characterization methods for cementitious materials, low-carbon concrete, supplementary cementitious materials, calcined clay technology, LCA of cement-based materials
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Víctor Ortega Jiménez Dept of Integrative Biology electrical and capillary forces on small animals, evolutionary biology, bio-inspired robotics
Alison Gopnik Dept of Psychology A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
Debarati Sanyal Dept of French Border studies, race, postcolonialism, politics of aesthetic form, nineteenth-century French studies, memory studies, World War Two, Holocaust studies, critical refugee studies, contemporary fiction and film
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Dennis Baldocchi Dept of Environmental Science, Policy & Management biometeorology, climate change and ecosystems, biosphere-atmosphere interactions, agricultural meteorology, ecosystem ecology, carbon cycle, evaporation, ecohydrology, public impact research/scholarship, community-engaged research/scholarship
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
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
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
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
Karen Feldman Dept of German critical theory, aesthetics, literary theory, Kant, Nietzsche, Heidegger, Arendt, Benjamin, 18th-20th century German thought, Hegel, Adorno
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Nilah Ioannidis
