1. Recipient of the 2025 Google PhD Fellowship, 2. MIT EECS Rising Star for 2025, 3. Paper accepted at IEEE Symposium on Security and Privacy 2025 'Exploring Parent-Child Perspectives on Safety in Generative AI', 4. Paper at ACM CHI Conference on Human Factors in Computing Systems 2024 'Don’t Put All Your Eggs in One Basket': How Cryptocurrency Users Choose and Secure Their Wallets' with Best Paper Honorable Mention.
Research Experience
As a Ph.D. candidate in SALT Lab, research focuses on: 1. Characterizing emerging relational risks in AI-human interactions, 2. Evaluating the limitations of current AI safeguards, 3. Developing new conceptual and technical frameworks for relational AI safety.
Education
Ph.D.: School of Information Sciences at the University of Illinois Urbana-Champaign, Advisor: Yang Wang; M.S.: Heinz College at Carnegie Mellon University, Advisors: Alessandro Acquisti and Cristobal Cheyre.
Background
Research Interests: Human-Computer Interaction (HCI), Responsible AI, Human-Centered Safety and Security. Professional Area: Building safer and more resilient human-AI ecosystems, especially for vulnerable populations like youth. Bio: Aims to develop human-centered models and interaction frameworks that detect and mitigate long-term risks to user autonomy, trust, and wellbeing as AI systems become increasingly embedded in daily life.
Miscellany
Actively seeking tenure-track faculty and postdoctoral positions in the 2025-2026 academic job market.