University of Massachusetts Amherst

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Five College faculty doing work related to data science

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | ALL

Michael Lavine

Professor, Mathematics and Statistics, UMass Amherst
Bayesian robustness, Bayesian non-parametrics, spatial studies, ecology and environment, neurobiology

Erik Learned-Miller

Associate Professor, Information and Computer Sciences, UMass Amherst
computer vision, machine learning, probabilistic and statistical methods in vision and image processing, non-parametric statistics, information theoretic methods, unsupervisedlearning

Donna LeCourt

Associate Professor, English, UMass Amherst
cyberpublic within Web 2.0, the changing nature of the private and public, the role of the information economy on communicative capital, and civic discourse and engagement.

Bernhard Leidner

Assistant Professor, Psychological and Brain Sciences, UMass Amherst
social identification, intergroup relations, cross-road of the social psychological areas of norms and morality, intergroup threat, and social justice

Brian Levine

Professor, Information and Computer Sciences, UMass Amherst
networking and security, including digital forensics, mobile networking, privacy, and digital forensics

Anna Liu

Associate Professor, Mathematics and Statistics, UMass Amherst
non-parametric statistics, semiparametric models, probabilistic data stream processing, microarray data analysis, geosciences and remote sensing

Jack Loveless

Assistant Professor, Geosciences, Smith College
time series analysis, GPS data, earthquake-related deformation, parallel computing

Lu Lu

Visiting Assistant Professor, , Smith College
nonparametric curve estimation