Samuel Curtis

Samuel is interested in predicting and preventing large-scale risks posed by emergent AI/ML and biotechnological tools. His interests span transformative AI, synthetic media, and synthetic biology. At The Future Society, his work involves applied policy research, strategy, and communications.

Prior to joining TFS, he conducted research on China’s use of facial recognition technology during the COVID-19 pandemic, which received an Outstanding Capstone Award from Schwarzman College and contributed to a publication by the Beijing Academy of AI. His past employment includes designing cancer therapeutics in a Seattle biotech, teaching English in Central Asia, and conducting research on North Korea’s nuclear program with the former Economic Advisor to the President of Kazakhstan.

He completed his BA in Biochemistry, Biophysics, and Molecular Biology at Whitman College and his MSc in Global Affairs at Tsinghua University through the Schwarzman Scholars program. He speaks Russian (advanced) and Mandarin Chinese (pre-intermediate).

Samuel Curtis

Senior Associate, AI Governance


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