Bio

I’m a cognitive scientist by training, with an interdisciplinary background spanning AI, neuroscience, physics, linguistics, psychology, and philosophy.

I lead AI initiatives for mindline.sg, Singapore’s national digital platform for mental health, at the MOH Office for Healthcare Transformation (MOHT). My work focuses on a portfolio of projects at the intersection of AI and mental health, exploring how technology can help scale and improve our mental health care systems.

This semester, I’m teaching a course on AI for Healthcare at the National University of Singapore.

I’m also involved with SEACrowd, a non-profit organization working to boost AI performance and inclusion across Southeast Asia.

Additionally, I remain affiliated with the University of Cambridge as a Visiting Scientist, where my research focuses on developing algorithms for characterizing brain connectivity from MRI scans and understanding how connectivity is altered in depression.

I completed my PhD in the Adaptive Brain Lab at the University of Cambridge’s Department of Psychology, under the supervision of Zoe Kourtzi and Mark van der Wilk. Here, I worked on AI for Brain Science and Mental Health and computational cognitive neuroscience approaches to learning and decision making.

Before my PhD, I helped establish a machine learning team at Goldman Sachs in Hong Kong, bridging the gap between academic research and real-world applications.

During my MPhil, supervised by Pascale Fung, I worked on several projects related to natural language processing and affective computing. Working with Genta Indra Winata, I built a virtual therapist platform that used deep learning to model user emotional states and generate empathetic dialogue-an early preview of my current work at the intersection of AI and mental health.

I received my undergrad degree in Applied Physics from the TU Delft in the Netherlands, where I grew up.