Nir Shavit

Nir Shavit is a professor in the Department of Electrical Engineering and Computer Science (EECS) and a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, where he leads the Multiprocessor Algorithmics and the Computational Connectomics research groups. His research includes techniques for designing, implementing, and reasoning about multiprocessor algorithms, in particular concurrent data structures for multicore machines and the mathematical foundations of the computation models that govern their behavior. He is also working to understand how neural tissue computes by extracting connectivity maps of brain, a field called connectomics. Shavit received a PhD in computer science from the Hebrew University of Jerusalem, as well as an MSc and BSc in computer science from the Technion – Israel Institute of Technology.

Select Publications

• Athey, T., Sawmya, S., Meirovitch, Y., Schalek, R., Potocek, P., Chandok, I., Peemen, M., Lichtman, J., Samuel, A., & Shavit, N. (2025). Analysis of smart imaging runtime. Applied Microscopy, 55, 10.
• Tumma, N., Kong, L., Sawmya, S., Wang, T. T., & Shavit, N. (2025). A connectomics-driven analysis reveals novel characterization of border regions in mouse visual cortex. NeuroImage, 303, 119387.
• Yamamoto, M., Misra, I., Girdhar, R., Malik, J., & Efros, A. A. (2023). Open vocabulary 3D scene understanding. In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 15572–15582).

Media

• November 12, 2024: Tech Crunch, Red Hat is acquiring AI optimization startup Neural Magic
• November 6, 2023: MIT News, Using AI to optimize for rapid neural imaging
• April 1, 2022: MIT CSAIL, Applying Lessons from Neurobiology to Make Smarter AI with MIT CSAIL Professor Nir Shavit