Yashvardhan Sharma

Yashvardhan Sharma is an AI safety and policy researcher focused on compute governance, AI hardware, and model safety evaluation. He studied artificial intelligence, machine learning, and economics at Minerva University, where he led Minerva Effective Altruism and AI Safety. He is affiliated with FAR.AI, where he has co-authored research on adversarial AI safety including red-teaming studies of leading frontier models ("Illusory Safety") and jailbreak vulnerability analysis. He also co-authored "Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape," examining policy implications of shifts from centralized to distributed AI training. He previously served as Office Manager at SERI-MATS and received a stipend from the Long-Term Future Fund to research specialized AI hardware requirements for large AI training runs, mentored by Asher Brass at the Institute for AI Policy and Strategy (IAPS).

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