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Showing 26 - 50 of 72 Results

Alan Hubbard

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

Nicholas Jewell

Nicholas Jewell

School of Public Health

Dept of Statistics

AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts

Michael I. Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

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

Professor Yaniv Konchitchki in the Classroom

Yaniv Konchitchki

Haas School of Business

Monetary economics, macroeconomics, macro-finance, Financial-based solutions to world’s grand challenges, capital markets research, financial accounting, FinTech, financial technology and innovation, financial statement analysis, asset pricing, macro-accounting

Dung-Hai Lee

Dept of Physics

physics, theoretical condensed matter, topological phase transitions, high-temperature superconductivity, organization principles enabling microscopic degrees of freedom to behave cooperatively, matter and their formation mechanisms, low dimensional quantum magnets, strongly correlated Fermi and Bose fluids

Lexin Li

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

Jennifer Listgarten

Jennifer Listgarten

Division of Computer Science (EECS)

Samuel Lucas at podium

Dept of Sociology

research methods, demography, sociology, social stratification, sociology of education, and research statistics

Song Mei

Song Mei

Dept of Statistics

data science, statistics, machine learning

Dept of Integrative Biology

Dept of Statistics

evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology

Dept of Statistics

statistics, empirical process, high-dimensional modeling, technology in education

Okamoto diving in sea urchin barrens

Dept of Integrative Biology

population dynamics of exploited species, marine biology, community ecology, ecological modeling, biostatistics

Maya Petersen

Maya L. Petersen

School of Public Health

Computational Precision Health Program

causal inference, precision health, targeted learning, HIV, global health, pandemics

Sam Pimentel

Dept of Statistics

causal inference, health services & policy analysis, biostatistics, discrete optimization

Dept of Statistics

fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence

James L. Powell

James L. Powell

Dept of Economics

economics, endogeneity in semiparametric binary response models, instrumental variables estimation of nonparametric models, endogeneity in nonparametric and semiparametric regression models

Ndola Prata

Ndola Prata

School of Public Health

community-base access to care, maternal mortality, population and family planning, safe abortion, adolescent reproductive health in developing countries, postpartum hemorrhage

Elizabeth Purdom

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

Sophia Rabe-Hesketh

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

Prasad Raghavendra in outdoor setting

Prasad Raghavendra

Division of Computer Science (EECS)

theory(THY), optimization, complexity theory, approximation algorithms

Michael Ranney

School of Education

Dept of Psychology

Problem solving, knowledge representation & reorganization, explanatory coherence & inference, conceptual change, societal implications, science instruction, global climate change psychology, numeracy in journalism, naïve/informal physics, computational models of cognition, perceptual-cognitive interactions, intelligent tutoring systems, understandings of biological evolution, Reasoning, qualitative & quantitative thinking

Yoram Rubin

Dept of Civil and Environmental Engineering

risk assessment, hydrogeology, contaminant transport, geostatistics

Uros Seljak in 2023

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Goldman School of Public Policy

applied microeconomics, international development, global health, gender