Ashish Sharma

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Ashish Sharma is a Senior Applied Scientist in the Office of Applied Research, developing human-AI collaboration systems. His work advances ways to model the socio-cognitive intelligence of both humans and AI, combining techniques from natural language processing, reinforcement learning, data science, and psychology.

Ashish received his PhD in Computer Science from the University of Washington, advised by Prof. Tim Althoff (opens in new tab). His dissertation received the 2024 ACM Doctoral Dissertation Award (opens in new tab), an Honorable Mention for the 2025 ACL Computational Linguistics Doctoral Dissertation Award (opens in new tab), and the 2024 William Chan Memorial Dissertation Award (opens in new tab). His work has been recognized with an outstanding paper award from ACL, the best paper award from The Web Conference, and the JP Morgan Chase AI Research PhD Fellowship (opens in new tab). Also, his work has been deployed in the real-world by Mental Health America (opens in new tab).

For more information, visit Ashish’s personal website (opens in new tab).