Neurum envisions a world where you and your loved ones can live life on the fly, and your behavioural health and wellness are taken care of.
We leverage the power of real-world and real-time data to tell the story of an individual’s behavioural health journey. Smart technology personalises support, and understand early red flags of risk. This is made possible by a team aligned in skill-sets, driven by our own mental health stories, working hard for you and your people.
Meg built a multidisciplinary team during her fellowship at Yale School of Medicine investigating digital data from connected devices to find patterns on depressive symptoms. There, co-founded emeritus Psychiatry Technology Group. She serves on the board of GIANT Health events, and advised corporate-founded network, Shared Value Project HK’s mental health initiative. She has consulted on health technology projects for development aid organisations globally, and is a regular speaker on the intersection of mental health, technology, and service design.
Caleb is an expert in consumer applications, spending 8 years building top-charting products as a full-stack software engineer. He has leveraged his skills from Bloomberg, to developing AI-enabled digital therapeutics that provide appropriate care at the right time. This was conducted with Imperial College's Department of Psychology. Testament to this, Caleb moved back to Hong Kong and founded a government-backed mental health technology company, focusing on students and systemic social support systems. He holds a Masters degree in Computer Science from Imperial College London.
Juwon holds a double-degree, with a Major in Computer Science and Minor in Biotechnology and Molecular Biology at The University of Hong Kong. She is passionate about uncovering hidden insights from various streams of health data, and making use of them for improving both mental and physical health. Juwon has a strong track record of applying her technical skills in spear-heading machine learning proponents in award-winning research projects in collaboration with the School of Medicine, and has presented her research efforts internationally.
Christine has been involved in the field of mental health for the past ten years. She received training as a marriage and family therapist in the United States before returning to Hong Kong to obtain a PhD in Clinical Psychology from The University of Hong Kong. Christine's more recent research explores the relationship between social processes and mental health. As a research-practitioner, Christine promotes the well-being of individuals and communities through evidence-based and culturally specific approaches. She is accredited with the Hong Kong Psychological Society and Association for Psychological Science.
Machine Learning Lead
Onno is a researcher in the Department of Psychology at the University of Cambridge. His interdisciplinary work spans across machine learning, neuroscience, and mental health. Previously, he established the machine learning team at Goldman Sachs in Hong Kong. He completed his MPhil at the Hong Kong University of Science and Technology, working on making dialogue systems more emotionally intelligent. His work has been published in high-impact machine learning venues.