Grants & Projects per year
Personal profile
Biography
Lav Varshney is the Della Pietra Infinity Professor and inaugural director of the AI Innovation Institute at Stony Brook University. He is co-founder and CEO of Kocree, Inc., a startup company building novel human-controllable AI for discovery and creativity, and chief scientist of Ensaras, Inc., a startup company focused on AI and wastewater treatment. He holds appointments at RAND Corporation and at Brookhaven National Laboratory. He was previously on the faculty of the University of Illinois Urbana-Champaign, a visiting scholar at Northwestern's Kellogg School of Management, a principal research scientist at Salesforce Research AI, and a research staff member at IBM Research. He is a former White House staffer, having served on the National Security Council staff as a White House Fellow, where he contributed to national AI and wireless communications policy. His research interests include information theory and artificial intelligence. He received his B.S. degree from Cornell University and his S.M. and Ph.D. degrees from the Massachusetts Institute of Technology.
Education/Academic qualification
Bachelor, Cornell University
Master, Massachusetts Institute of Technology
PhD, Massachusetts Institute of Technology
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Collaborations and top research areas from the last five years
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SBF Funds to fund 10 Seed Grants Advancing AI Research/Diffusion
Varshney, L. (PI), Carlini, L. (CoI), Choi, H. (CoI), Dave, A. (CoI), Enikolopov, G. (CoI), Klein, D. N. (CoI), Li, J. (CoI), Ma, T. (CoI), Miranda, V. (CoI), Samaras, D. (CoI), Sirotkin, H. I. (CoI), Sunar, U. (CoI), Vitek, N. (CoI), Yin, Z. (CoI) & Jeon, M. E. (CoI)
08/1/26 → 07/31/27
Project: Research
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A theory of inference compute scaling: reasoning through directed stochastic skill search
Ellis-Mohr, A. R., Nayak, A. K. & Varshney, L. R., Feb 26 2026, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 384, 2315, 20240510.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Continual Instruction Tuning via Increasing Experts
Wu, X., Hartman, M., Jayaraman, V. A. & Varshney, L. R., 2026, (Accepted/In press) In: IEEE Journal on Selected Topics in Signal Processing.Research output: Contribution to journal › Article › peer-review
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DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding
Choraria, M., Wu, X., Bhimaraju, A., Sekhar, N., Wu, Y., Zhang, X., Singhal, P. & Varshney, L. R., 2026, Long Papers. Demberg, V., Inui, K. & Marquez Villodre, L. (eds.). Association for Computational Linguistics (ACL), p. 7059-7079 21 p. (EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Vol. 1 - (Long Papers); vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Dynamic batching of online arrivals to leverage economies of scale
Bhimaraju, A., Etesami, S. R. & Varshney, L. R., Feb 1 2026, In: European Journal of Operational Research. 328, 3, p. 749-761 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Energy-Aware Routing to Large Reasoning Models
Ellis-Mohr, A. R., Hartman, M. & Varshney, L. R., 2026, In: IEEE Journal on Selected Areas in Information Theory. 7, p. 221-228 8 p.Research output: Contribution to journal › Article › peer-review
Open Access