Advancing algorithmic intelligence.
Cornell’s machine learning research shapes how machines process, learn from, and analyze massive datasets. The work spans core computational challenges in pattern recognition, neural networks, and learning theory, developing new frameworks that push the boundaries of artificial intelligence.
Operating at the intersection of computer science and data science, the interdisciplinary team brings together faculty expertise across departments to tackle complex learning problems.
Faculty exploring machine learning.
Sorin Lerner
Dean, Cornell Bowers, Professor of Computer Science
Emaad Manzoor
Assistant Professor of Marketing at the Cornell SC Johnson College of Business
Emaad Manzoor
Assistant Professor of Marketing at the Cornell SC Johnson College of Business
Contact
emaadmanzoor@cornell.edu
David S. Matteson
Professor, Statistics and Data Science, Director of the National Institute of Statistical Sciences
David S. Matteson
Professor, Statistics and Data Science, Director of the National Institute of Statistical Sciences
Contact
Matteson <at> cornell <dot> edu
Kristina Monakhova
Assistant Professor of Computer Science
Kristina Monakhova
Assistant Professor of Computer Science
Contact
monakhova[at]cornell.edu
Jennifer J. Sun
Assistant Professor in Computer Science
John Thickstun
Assistant Professor of Computer Science
John Thickstun
Assistant Professor of Computer Science
Contact
jthickstun@cornell.edu
Kilian Weinberger
Professor of Computer Science
