M.A. in Statistics
Columbia University
Advisor: Dr. Liam Paninski
Computational neuroscience · Machine learning
My research interests center on how neural population activity is organized in time, and how its geometry and dynamics relate to behavior and memory. I use statistical modeling and machine learning to analyze neural recordings, imaging, and behavior, with an emphasis on interpretable methods.
I currently work with Dr. Attila Losonczy in the Program in Memory Longevity and previously worked with Dr. René Hen at Columbia University. I earned an M.A. in Statistics at Columbia under Dr. Liam Paninski and a B.A. in Mathematics and Geographic Information Systems at Clark University.
You can find my CV here.
Columbia University
Advisor: Dr. Liam Paninski
Clark University
Advisor: Michael Satz
Fallah, K., Chen, H. N., Singha, R., Kong, E., Turi, G., Losonczy, A., Zabeh, E. (2026). NeuralFieldManifold: Reconstruction of LFP Manifold with Lag Embedding. NeurIPS 2026. Accepted.