Sunishchal Dev

Sunishchal Dev

AI Evaluation Research Scientist

Sunishchal Dev is an AI evaluation research scientist at RAND. His research interests include evaluating and governing artificial intelligence systems. 

Prior to joining RAND, Dev received a B.A. in technology and innovation management from the  University of Washington, Bothell. He has a decade of industry experience as a data scientist and management consultant implementing AI solutions for enterprises. Dev has also researched the risks from artificial intelligence as a MATS Scholar. 

Education

B.A. in technology & innovation management, University of Washington

Concurrent Non-RAND Positions

Research Director, Algoverse

Selected Work

  • Dev, Sunishchal, Charles Teague, Grant Ellison, Kyle Brady, Jeffrey Lee, Sarah L. Gebauer, Henry Alexander Bradley, Dawid Maciorowski, Bria Persaud, Jordan Despanie, Barbara Del Castello, Alyssa Worland, Michael Miller, Adrian Salas, Dave Nguyen, James Liu, Jason Johnson, Andrew Sloan, Will Stonehouse, Travis Merrill, Thomas Goode, Greg McKelvey, Jr., and Ella Guest, Toward Comprehensive Benchmarking of the Biological Knowledge of Frontier Large Language Models, RAND Corporation (RR-A3797-1), 2025
  • Mougán, Carlos, Lauritz P. Morlock, Jair Aguirre, James R. M. Black, Jan Brauner, Siméon Campos, Sunishchal Dev, David Fernández-Llorca, Alberto Franzin, Mario Fritz, Emilia Gómez, Friederike M. Grosse-Holz, Eloise Hamilton, Max Hasin, José Hernández-Orallo, Dan Lahav, Luca Massarelli, Vasilios Mavroudis, Malcolm Murray, Patricia Paskov, Jaime Raldúa, and Wout Schellaert, The Science and Practice of Proportionality in AI Risk Evaluations: AI Evaluations Should Provide Meaningful Risk Information Without Imposing Excessive Burden, American Association for the Advancement of Science (EP-71258), 2026
  • Dev, Sunishchal, Andrew Sloan, Joshua Kavner, Nicholas Kong, Morgan Sandler, and William Marcellino, Judge Reliability Harness, RAND Corporation (TL-A4547-1), 2026
  • Wei, Kevin, Patricia Paskov, Sunishchal Dev, Michael J. Byun, Anka Reuel, Xavier Roberts-Gaal, Rachel Calcott, Evie Coxon, and Chinmay Deshpande, Position: Human Baselines in Model Evaluations Need Rigor and Transparency: (With Recommendations & Reporting Checklist), MLResearchPress (EP-71235), 2025

Authored by Sunishchal Dev

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6 Results