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Research Expertise and Interest

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Name

Department

cardiovascular biomechanics, computational mechanics, computational fluid dynamics, thrombosis, medical image processing, dynamical systems, fluid dynamics, Lagrangian coherent structures, mathematical modeling

Vadim Gorin

Dept of Mathematics

Dept of Statistics

integrable probability, random matrices, asymptotic representation theory, 2d statistical mechanics, interacting particle systems, high-dimensional statistics

Mina Aganagic

Dept of Mathematics

Dept of Physics

string theory, mathematical physics

Svetlana Jitomirskaya

Dept of Mathematics

mathematical analysis, probability, dynamical systems

Song Mei

Dept of Statistics

data science, statistics, machine learning

Dor Abrahamson

School of Education

mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction

Ken Kamrin

Dept of Mechanical Engineering

solid and fluid mechanics, constitutive modeling, computational mechanics, physical applied mathematics

man with short hair standing in front of a white board with formulas and other writing.

William (Bill) D. Thompson

Dept of Psychology

cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks

Sung-Jin Oh

Dept of Mathematics

mathematical analysis, nonlinear partial differential equations

Jason Lee

Dept of Statistics

Division of Computer Science (EECS)

machine learning theory, optimization, statistics, deep learning

James Pitman

Dept of Statistics

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

Alan H. Schoenfeld

School of Education

thinking, teaching, learning, productive learning environments, professional development, mathematics education, modeling thinking and decision making

Alistair Sinclair

Dept of Statistics

Division of Electrical Engineering (EECS)

algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization

Ilan Adler

Dept of Industrial Engineering & Operations Research

mathematical programming, computational game theory, applied probability

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Elizabeth Purdom

Dept of Statistics

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

Ryan Giordano

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Carmine during a rehearsal of his opera "Pane, sale, sabbia"

Carmine Emanuele Cella

Dept of Music

mathematical representation of musical and acoustic signals, music composition

Sean Gailmard

Dept of Political Science

American political institutions, bureaucratic organizations, executive branch, public administration, political economy, statistical modeling

Amanda Coston

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Peter Bickel

Dept of Statistics

statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

Daniel McFadden

Dept of Economics

latent variable models, choice modeling, econometric modeling, sampling theory, production theory, consumer theory

Ori Ganor

Dept of Physics

string (and M-) theory, quantum field theory, mathematical physics

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