Recent publications include 'Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to US Lithium Resources' and 'Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows.' Serves as Editor-in-Chief for OSCM Journal and as a reviewer for leading AI, transportation, and sustainability venues.
Research Experience
Works as a Research Engineer at both the Stanford Intelligent Systems Lab (SISL) and Mineral-X; focuses on ensuring equitable and just energy transitions through resilient critical mineral supply chains, safety-aware geothermal and subsurface applications, and robust AI system verification and validation methods that can manage catastrophic failure risks in critical infrastructure.
Education
Earned a Ph.D. in Mechanical Engineering from Carnegie Mellon University under Ding Zhao in the Safe AI lab. Also serves as Adjunct Professor at ULBI, Indonesia.
Background
AI safety and sustainability researcher with executive leadership responsibilities at Stanford University, serving as Executive Director of the Stanford Center for AI Safety. Research interests include machine learning, optimization, and simulation to create trustworthy AI systems for high-stakes applications in both safety and sustainability domains.
Miscellany
Enjoys teaching and mentoring students at all levels, having co-instructed courses on data-driven analytics and guided numerous research projects. Participates in various academic conferences and forums, such as AGU 2025, Silicon Valley Minerals Forum 2025, and more.