Biography
I currently support a National Science Foundation initiative exploring how structured knowledge can complement deep learning to enable more human-like learning and reasoning. My work sits at the intersection of artificial intelligence, knowledge engineering, and society, with a focus on how these technologies reshape domains such as finance, education, and law.
At JPMorgan Chase, I led initiatives applying large language models to drive business impact and helped define the firm’s graph database strategy. At Stanford University, I co-launched a nationwide high school logic education initiative and taught courses on knowledge graphs and logic programming. Earlier, at SRI International, I led pioneering efforts in knowledge engineering, including the development of one of the largest formal axiomatizations for an intelligent biology textbook.
I am committed to advancing public understanding of AI and its societal implications, with writing featured in Scientific American, Nature, Undark, The Hechinger Report, and The Fulcrum.
