Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
Nancy Wallace Haas School of Business housing price indices, real estate price dynamics, mortgage valuation models: prepayment and default, mortgage contract design, mortgage backed security trading and valuation, executive stock option valuation, energy efficient mortgage underwriting, climate risk
David Anthoff Dept of Energy & Resources Group environmental economics, climate policy, integrated assessment models
Tarek Zohdi Dept of Mechanical Engineering advanced manufacturing, 3D printing systems, fire propagation and control, UAVs and swarms, ballistic fabric shielding, food-system modeling, pandemic modeling
Mary Comerio Dept of Architecture disaster recovery, housing impacts in disasters, loss modeling, performance based design
Gabriel Goldberg Dept of Mathematics set theory, large cardinals, inner model theory, infinite combinatorics
Fotini Chow Dept of Civil and Environmental Engineering environmental fluid mechanics, wind energy applications, clouds, large-eddy simulation, turbulence modeling, atmospheric boundary layer flow, flow over complex terrain, wildfire smoke transport, methane emissions, urban dispersion modeling, urban air quality
Sayeef Salahuddin Division of Electrical Engineering (EECS) physical electronics, design and modeling and analysis, energy, scientific computing
Amitai Shenhav Dept of Psychology cognitive neuroscience, motivation, decision-making, executive functions, computational modeling
Ken Kamrin Dept of Mechanical Engineering solid and fluid mechanics, constitutive modeling, computational mechanics, physical applied mathematics
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Rita Lucarelli Dept of Middle Eastern Languages & Cultures Egyptology, Egyptian, afrofuturism, magic, demonology, digital humanities, 3D modeling, virtual reality, prison higher education, ritual and religion
Kameshwar Poolla Dept of Mechanical Engineering Division of Electrical Engineering (EECS) modeling, control, estimation, smart grids, renewable energy, electricity markets, transportation networks, integrated circuit design and manufacturing
Justin Remais School of Public Health Infectious disease dynamics, methodological issues in infectious disease surveillance, infectious diseases, infectious disease epidemiology, global environmental change, climate change, global change, urbanization, mathematical modeling, computational modeling
Johan Walden Haas School of Business finance, asset pricing, investments, financial modeling, heavy-tailed risks, insurance
Jonathan D. Bray Dept of Civil and Environmental Engineering earthquake engineering, geotechnical engineering, physical and numerical modeling, environmental geotechnics
Ramon Weber Dept of Architecture computational design, sustainability, structural modeling, generative design, embodied carbon
Celeste Kidd Dept of Psychology attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
Daniel Okamoto Dept of Integrative Biology population dynamics of exploited species, marine biology, community ecology, ecological modeling, biostatistics
Ayesha S. Mahmud Dept of Demography Infectious disease dynamics, disease ecology, mathematical models, Asia, Africa, Central America, climate change
Thomas Schutzius Dept of Mechanical Engineering nanoscale transport phenomena, micro/nanofabrication techniques, interfacial optical methods, thermodynamic and interfacial modeling
Kenichi Soga Dept of Civil and Environmental Engineering infrastructure sensing, infrastructure modeling, performance-based design, underground structures, energy geotechnics, geomechanics
Robert Van Houweling Dept of Political Science Congress, political parties, voting behavior, spatial models of candidate competition, experimental methods
Avideh Zakhor Division of Electrical Engineering (EECS) signal processing, image processing, computer vision, Deep Learning
Deborah Nolan
