I am a CS PhD candidate at the Center for Automated Reasoning at Stanford University, under the guidance of Prof. Clark Barrett. My researching revolves around producing informative and collaborative language models via reinforcement learning. My goal is to ensure that wisdom and intelligence arise in AIs at similar rates, unlike a broader trend in human societal history.
During my PhD journey, my focus has evolved from formal verification and programming languages to AI alignment, prompted by my belief that robust AI represents a substantial existential threat to humanity. Prior to this, I majored in computer science and electrical engineering at MIT, contributing to AI and robotics research. After MIT, I explored interactive theorem proving at CMU with Simon Dedeo. During this period, I published research on the application of abduction in mathematics in the Cognition journal. I am currently in the 4th year of my PhD, where I have engaged in various projects related to SMT solving and interactive theorem proving. I have also probed into ontology mapping as a technique for targeted neural network interpretability.
My primary character trait is curiosity, and I really love math.
Ph.D. in Computer Science (emphasis in Artificial Intelligence), present
Stanford University
B.S. in Computer Science and Electrical Engineering, 2018
Massachusetts Institute of Technology
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