Rupal Jain is a Computer Science PhD student and UNESCO Poland Research Fellow. She's an AI Governance scholar at MATS 6.0 working on AI economy and developing standardized measures to price in AI risk and enhance market efficiency with mentors Matija Franklin and Philip Moreira Tomei. Concurrently, she’s also a Carl Menger Doctoral Research Fellow at the Mercatus Research Center, George Mason University where she learns about the political economy and socioeconomic sensitivity of advanced AI. Prior to that, she worked at Alphabet Inc. as an engineer. Connect with her at: https://www.linkedin.com/in/rupal-jain-677301125/
The Summer 2024 cohort marked a significant expansion, supporting approximately 90 scholars with 40 mentors—the broadest mentor selection in MATS history. This cohort incorporated MATS as a 501(c)(3) nonprofit organization, formalizing its institutional structure. The program expanded its research portfolio to include at least four governance mentors alongside technical research streams, reflecting growing interest in AI policy and technical governance work. The 10-week research phase continued in Berkeley, with scholars conducting work across mechanistic interpretability, evaluations, scalable oversight, and governance research.Notable outputs from this cohort include research on targeted manipulation and deception in LLMs trained on user feedback, which was accepted to NeurIPS workshops, and contributions to an AI safety via debate paper that won best paper at ICML 2024. One scholar co-founded Decode Research, a new AI safety organization focused on building interpretability tools.
Rupal Jain
