Summary
Satyapriya Krishna is a researcher focused on making AI trustworthy, with 12 years of experience spanning academia and industry in the San Francisco Bay Area. He completed a PhD at Harvard SEAS and has held research roles at Google DeepMind, Amazon (including founding work on Alexa’s Trustworthy Language team and leading frontier AI safety for Amazon Nova), and now works at Sesame. His work bridges rigorous benchmark and tool creation—authoring the FRAMES factuality benchmark and pioneering deceptive reasoning and frontier risk evaluations—with applied impact in search, conversational agents, and responsible AI. Comfortable moving between theory and production, he has a track record of shipping models that improved search recall and launching evaluation datasets used by the community. Beyond publications, he combines deep ML expertise with practical system-building, reflecting training at Carnegie Mellon and collaborations across top research labs.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) - Computer Science, Doctor of Philosophy (PhD) - Computer Science at Harvard John A. Paulson School of Engineering and Applied Sciences
(Cross registered), Computer Science, (Cross registered), Computer Science at Massachusetts Institute of Technology
Master of Science (M.S.) , Language Technology Institute, School of Computer Science, Master of Science (M.S.) , Language Technology Institute, School of Computer Science at Carnegie Mellon University
English, Hindi