I’m a PhD candidate at ETH Zurich, currently based in Singapore at the Singapore-ETH Centre (SEC). My research lies at the intersection of machine learning, ubiquitous computing, and digital health. In particular, I take a theory-informed approach to investigate the interplay between physiological and psychological processes, using wearable sensor data and advanced computational methods. By uncovering these associations, my work aims to improve the precision assessment—and subsequent intervention—of psychiatric disorders.

My long term goal is to design non-invasive, intelligent health-sensing systems that support mental well-being and healthy longevity at scale.

My academic background spans machine learning, signal processing, and systems research. Previously, I worked on improving the reliability and privacy of low-power wireless sensing devices.

Outside of work, I enjoy running and reading non-fiction, particularly world history. In an effort to keep up with the zeitgeist, I have also taken a casual interest in climbing.

News

• [Aug 2025] Presented some formative work on LLMs for Motivational Interviewing at ISRII 2025 in San Diego
• [Jul 2025] Guest Talk at Professor Varun Mishra’s lab at Northeastern University
• [May 2025] Spent the summer at Professor Nick Jacobson’s lab at Dartmouth College as a Visiting Scholar
• [Apr 2025] Presented a poster at the ACM CHI Interactive Health Workshop in Yokohama
• [Oct 2024] Attended UbiComp in Melbourne
• [Jun 2024] Co-organized a hands-on workshop on Digital Biomarkers at the ISRII 2024 in Limerick, Ireland