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Salil Vadhan is the Vicky Joseph Professor of Computer Science and Applied Mathematics at Harvard. His research in theoretical computer science spans computational complexity, cryptography, randomness in computation, and data privacy. A member of Harvard’s Theory of Computation research group, Vadhan also leads Harvard’s Privacy Tools Project and co-leads the OpenDP open-source differential privacy software project. He is a Fellow of the Association for Computing Machinery, a Simons Investigator, and has been honored with a Harvard College Professorship and a Guggenheim Fellowship. He and co-authors received the “Test of Time Award” at the 2024 Theory of Cryptography Conference for “Notions of Reducibility Between Cryptographic Primitives,” and the Distinguished Artifact Award at the 2023 ACM Conference for code accompanying the paper “A Framework for Differential Privacy Against Timing Attacks.” His other accolades include the 2009 Godel Prize for the paper “Entropy Waves, the Zig-Zag Graph Product and New Constant-Degree Expanders” (with Reingold and Wigderson) and the 2011 SIAM Outstanding Paper Prize for “Statistically Hiding Commitments and Statistical Zero-Knowledge Arguments from any One-Way Function” (with Haitner, Nguyen, Ong, and Reingold). He holds a Ph.D. in applied mathematics from Massachusetts Institute of Technology.