Scholar
Cole Hurwitz
Google Scholar ID: jaPxv5cAAAAJ
Postdoctoral Research Scientist, Zuckerman Institute, Columbia University
Citations & Impact
Citations
857
H-index
12
i10-index
13
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 'Neural Encoding and Decoding at Scale' accepted at ICML 2025 as a spotlight, 'In vivo cell-type and brain region classification via multimodal contrastive learning' accepted at ICLR 2025 as a spotlight, 'Towards a “universal translator” for neural dynamics at single-cell, single-spike resolution' accepted at NeurIPS 2024. Contributions: Co-creator of SpikeInterface, a widely-used open-source framework for creating flexible and robust spike sorting pipelines.
Research Experience
- Work Experience: Postdoctoral Researcher at Zuckerman Institute, Columbia University. Research Projects: Member of the International Brain Laboratory (IBL) and NSF AI Institute for Artificial and Natural Intelligence (ARNI). Positions: Co-organizer of several workshops, such as 'Foundation Models for the Brain and Body' at NeurIPS 2025.
Education
- PhD: University of Edinburgh, supervised by Dr. Matthias Hennig; Postdoctoral Researcher at Zuckerman Institute, Columbia University, working with Dr. Liam Paninski.
Background
- Research Interests: Building scalable machine learning models that connect neural activity to behavior at single-cell and single-spike resolution. Specialization: Multimodal transformers, contrastive/self-supervised learning, probabilistic latent-variable/state-space modeling. Brief Introduction: Completed PhD at the University of Edinburgh, currently a postdoctoral researcher at Zuckerman Institute, Columbia University.
Miscellany
- Personal Interests: Not explicitly mentioned.
Co-authors