The University of Massachusetts Amherst
University of Massachusetts Amherst

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Five College faculty doing work related to data science

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Laura Haas

Dean, College of Information and Computer Sciences, UMass Amherst
information integration, database and knowledge-based systems, data science, data analytics and applications, information-centric user interaction, scientific applications

Peter Haas

Professor, Information and Computer Sciences, UMass Amherst
Information management; mining, analytics, and exploration of massive data; probabilistic database systems; machine learning; modeling and computer simulation of complex stochastic systems.

Mohammad Hajiesmaili

Research Assistant Professor, College of Information and Computer Sciences, UMass Amherst
rigorous system design using optimization, learning, and algorithmic tools, with applications to computer networks, energy, and cyber-physical systems

Simon Halliday

Assistant Professor, Economics, Smith College

Katherine Halvorsen

Professor, Statistics, Smith College

Traci Hess

Professor, Operations & Information Management, Isenberg School of Management, UMass Amherst
human-computer interaction, decision-making and decision support systems, electronic commerce and recommendation agents, trust and signaling

Martha Hoopes

Associate Professor, Biological Sciences, Mount Holyoke College
invasion dynamics, metacommunities, spatial host-parasitoid dynamics;

Nicholas J. Horton

Professor, Mathematics and Statistics, Amherst College
Statistics, Biostatistics, Psychiatric Epidemiology, Mathematical Sciences, Statistical Computing, Statistical Education, Missing Data Methods

Carrie Hosman

Visiting Lecturer, Mathematics and Statistics, Mount Holyoke College

David W. Hosmer

Professor Emeritus, Biostatistics & Epidemology, UMass Amherst
logistic regression, survival analysis, biostatistical and applied research

Nicholas Howe

Professor, Computer Science, Smith College

David Huber

Professor, Psychological and Brain Sciences, UMass Amherst
human perception and memory, neural networks, Bayesian modeling