Alexander Terenin is an Assistant Research Professor at Cornell University specializing in probabilistic machine learning and deep learning. With a PhD from Imperial College London, his research focuses on incorporating geometry and symmetry into AI models. He has prior experience as a research scientist in the tech industry.
He is a passionate contributor to the open-source community, developing and maintaining several software packages. This interest in building practical tools complements his academic research, showing a dedication to both theoretical and applied aspects of machine learning.
Unique fact: He is the author of multiple open-source software libraries for the machine learning community.
Alexander Terenin
Research Assistant Professor at Cornell University
Ithaca, New York, United States
Overview
Topics They Care About
Probabilistic ML
This is his core research area at Cornell, where he actively publishes papers and develops new methods.
Geometric Deep Learning
His academic work specifically explores the role of geometry, symmetry, and structure in modern AI models.
Open-Source Software
Actively develops and maintains several open-source libraries for the machine learning community on his GitHub profile.
Media Appearances
Alexander has no verified media appearances
Work History
Research Assistant Professor at Cornell University
Postdoctoral Researcher Associate at University of Cambridge
6-2017 - 1-2018
Research Scientist at Petuum, Inc.
6-2015 - 9-2016
Data Science Intern at eBay Inc
Education
2018 - 2022
Doctor of Philosophy - PhD from Imperial College London
2010 - 2014
Bachelor's Degree from UC Santa Barbara
More Information
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Location : Ithaca, New York, United States
Job Level : Junior
Designation : Research Assistant Professor at Cornell University
