Mehdi Azabou

I am an ARNI Postdoc at Columbia University working with Dr. Liam Paninski and Dr. Blake Richards. I did my Ph.D. at Georgia Tech and was advised by Dr. Eva L. Dyer. My main areas of interest are Representation Learning, Generative AI, Data-Centric AI, and Computational Neuroscience. I am actively working on developing methods for self-supervised representation learning for time-series and graphs, and developing new frameworks to build large-scale multimodal foundation models to advance scientific discovery.

My research focuses on the development of new methods for representation learning. I am particularly interested in expanding the use of these tools to novel domains where the structure of the data can be complex and obscured. Through the development of new approaches for analyzing and interpreting complex modalities, I aim to make an impact in our understanding of the brain, and biological intelligence, and to contribute new tools that facilitate new scientific discoveries. I am currently working on developing methods for learning representations of neural activity and behavior, with the goal of improving our understanding of the brain.

I love coding and learning new things. I am an enthusiast for dynamic and interactive visualizations that can provide insights into complex data and enable new ways of thinking. I received a MS in Engineering from CentraleSupélec, France in 2019 and a MS in Computer Science from Georgia Tech in 2020.