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Research Expertise and Interest

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Name

Department

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

Erin Hartman

Dept of Political Science

causal inference, survey data analysis

Elizabeth Purdom

Dept of Statistics

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

Alexandre Mas

Haas School of Business

labor markets, human resources, data analysis and statistical methods

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

Xiudi Li

School of Public Health

causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis

Ming Wu

Division of Electrical Engineering (EECS)

silicon photonics, MEMS, photonic integrated circuits, data center networks, 3D sensing, solid state LiDAR, optofluidics

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

Zsolt Katona

Haas School of Business

online marketing, search advertising, network economics, social networks

Mark van der Laan

Dept of Statistics

School of Public Health

targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies

Susan Irene Stone

School of Social Welfare

school-based psycho-social services, school-effects, archival data analysis, community development, organizational development, policy development

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Toby E. Stuart

Haas School of Business

social networks, entrepreneurship, innovation, strategy

Bryan Graham

Dept of Economics

econometrics, Social and Economic Networks, Peer Effects

Dennis Feehan

Dept of Demography

demography, social networks, quantitative methodology

Mathijs De Vaan

Haas School of Business

network analysis, health care management, economic sociology, research design and empirical methods

Dorit Hochbaum

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

Fernando Perez

Dept of Statistics

data science, Educational Data Science, scientific computing

Carlos F. Daganzo

Dept of Civil and Environmental Engineering

logistics, networks, urban transportation, traffic flow

Alvin Cheung

Division of Computer Science (EECS)

program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages

Zaijun Chen

Division of Electrical Engineering (EECS)

physical electronics, artificial intelligence, computer architecture & engineering, information / data / network / communication science, integrated circuits

Filip C. Filippou

Dept of Civil and Environmental Engineering

nonlinear analysis of structures, finite element analysis, seismic response simulation, seismic evaluation of structures by computer analysis

Claude Fischer

Dept of Sociology

social networks, American social history, technology, urban sociology, sociology

Ruixiang Zhang

Dept of Mathematics

mathematical analysis

Shachar Kariv

Dept of Economics

economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning

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