Scholar
Mehdi Azabou
Google Scholar ID: jXxyYCoAAAAJ
Columbia University
Citations & Impact
Citations
1,072
H-index
11
i10-index
11
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including a paper on identifying cell type from in vivo neuronal activity in Cell Reports; featured at ICLR 2025 as a Spotlight for work on multi-task neural decoding model; two main conference papers and two workshop papers accepted at NeurIPS 2025; successfully defended PhD thesis titled 'Building a foundation model for neuroscience'.
Research Experience
- Interned at IBM Research; involved in multiple research projects including the multi-task neural decoding model POYO+ and large-scale brain decoders; co-organized the Building a Foundation Model for the Brain Workshop at COSYNE 2025 and developed related tutorial content.
Education
- PhD from Georgia Tech, advised by Dr. Eva L.; currently an ARNI Postdoctoral Fellow at Columbia University, working with Dr. Liam Paninski and Dr. Blake Richards.
Background
- Research interests include building foundation models for the brain, designed to understand brain data across modalities, species, tasks, and environments. The goal is to advance AI, brain-machine interfaces, and neuroscience.
Miscellany
- Personal interests not mentioned
