
About
David Lipshutz is an Assistant Professor of Neuroscience at Baylor College of Medicine and holds adjunct positions at Rice University in Electrical and Computer Engineering and Computational Applied Mathematics and Operations Research. He leads the Lipshutz Lab at Baylor College of Medicine, which focuses on understanding how large populations of neurons collectively compute.
Dr. Lipshutz received his BA in Mathematics from University of California San Diego in 2008 and his PhD in Mathematics from the same institution in 2013. Prior to joining Baylor, he was an Associate Research Scientist in Computational Neuroscience at the Flatiron Institute and completed postdoctoral positions in Applied Mathematics at Brown University and Electrical Engineering at the Technion.
His research interests span theoretical neuroscience, neural computation, cortical circuit models, and perception. The Lipshutz Lab investigates the brain's algorithms by studying how neural populations collectively process information. His work bridges mathematics, neuroscience, and engineering to develop computational models of neural systems.
Recent work presented at Cosyne 2025 explored methods for comparing image representations based on local geometry rather than global structure. He is also co-organizing the 'Data on the Brain & Mind' workshop for NeurIPS 2025, which aims to connect machine learning researchers with neuroscientists.
Dr. Lipshutz mentors several students including Josue Casco-Rodriguez (graduate student in Electrical and Computer Engineering at Rice), Sanjeev Rajakumar (undergraduate in Computer Science and Mathematics), and Luisa Martinez (undergraduate in Computer Science). His lab includes Tehrim Yoon, a postdoctoral associate with dual PhDs in Neuroscience and AI.
The Lipshutz Lab is situated within the Department of Neuroscience at Baylor College of Medicine, where they investigate how biological neural networks learn adaptive and flexible sensory representations. The lab collaborates with researchers across disciplines and institutions, particularly with the Rice Neuroengineering Initiative where Dr. Lipshutz is a core faculty member.
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