Cole Lincoln Hurwitz (Preferred)
Cole Lincoln Hurwitz
AI Architect, International Business Machines
Joined
September 2019
Names
Emails
****@gmail.com (Confirmed)
Personal Links
Career & Education History
AI Architect
International Business Machines (ibm.com)
2025 – Present
Postdoc
Columbia University (columbia.edu)
2022 – 2025
PhD student
University of Edinburgh (ed.ac.uk)
2017 – 2022
Advisors, Relations & Conflicts
Expertise
Contrastive learning
, self-supervised learning
, masked modeling
, foundation modeling
Present
Benchmarking
, Evaluation
, Reproducibility
2017 – Present
Computational Neuroscience
, Spike Sorting
, Neural Decoding
, Extracellular Analysis
, Neural Dynamics
2017 – Present
Latent variable modeling
, Probabilistic Modeling
, Machine Learning
, Deep Learning
, Amortized Inference
, VAEs
2017 – Present
Publications
Co-Authors
- Akash Srivastava
- Alejandro Pan-Vazquez
- Alexandre Andre
- Andrew M Shelton
- Ankit Vishnubhotla
- Anne E Urai
- Anup Khanal
- Ari Blau
- Bernhard Egger
- Blake Aaron Richards
- Chandramouli Chandrasekaran
- Charlie Windolf
- Charlotte Loh
- Dan Biderman
- Dan Gutfreund
- David Daniel Cox
- Dillon Noone
- Divyansha Lachi
- Donato M. Jiménez-Benetó
- Erdem Varol
- Eric Kenji Lee
- Eric M. Trautmann
- Eva L Dyer
- Fan Yang
- Federico Pedraja