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Danyating Shen

Applied Scientist - Governance AI Reseaech team

Danyating Shen is a skilled Machine Learning Engineer with experience in developing innovative AI solutions and backend systems. At Options MD, Danyating won first place at the Carnegie Mellon University AI and Innovation Capstone Competition 2024 and developed a Retrieval-Augmented Generation system for personalized treatment recommendations. Danyating's background includes a research assistant role at Oberlin College focusing on full-stack web development, and an internship at HubSpot contributing to AI-powered features and machine learning infrastructure. Danyating also has experience as a Software Engineer Intern at CryptoOracle, creating a decentralized app, and has been involved in AI research at Snowflake as an Applied Scientist on the Governance AI Research team. Danyating holds a Master’s degree in Artificial Intelligence and Innovation from Carnegie Mellon University and a Bachelor of Arts in Computer Science, Math, and Economics from Oberlin College.

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Pittsburgh, United States

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