MINDS Data Science, Machine Learning, and AI @ Purdue

Purdue MINDS aims to address complex problems in data science, machine learning, and artificial intelligence for the benefit of society.
elias-bareinboim.jpg

Elias Bareinboim
(CS)
Casual Inference,
Machine Learning

chris-clifton.jpg

Chris Clifton
(CS)
Privacy issues in Machine
Learning and Data Mining

petros.jpg

Petros Drineas
(CS)
Randomized Linear Algebra,
Matrix Factorizations,
Dimensionality Reduction

david-gleich.jpg

David Gleich
(CS)
Large Scale Network,
Matrix Methods

dan-goldwasser.jpg

Dan Goldwasser
(CS)
Machine Learning, Natural
Language Processing

jean-honorio.jpg

Jean Honorio
(CS)
Learning Theory, Optimization,
Game Theory, Graphical Models

jennifer-neville.jpg

Jennifer Neville
(CS & Statistics)
Data Mining, Machine Learning, Social Networks

bruno-ribeiro.jpg

Bruno Ribeiro
(CS)
Data Mining, Machine Learning, Complex Dynamics on Networks

Collaborators

vinayak-rao.jpg

Vinayak Rao
(Statistics)
Nonparametric Bayes,
Machine Learning,
Bayesian statistics

eugenio-culurciello.jpg

Eugenio Culurciello
(Affiliated: Biomedical Engineering)
Deep Learning,
Neural Networks

Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, (765) 494-4600

© 2015 Purdue University | An equal access/equal opportunity university | Copyright Complaints

Trouble with this page? Disability-related accessibility issue? Please contact the College of Science Webmaster.