I am currently working as a faculty member (Assistant Professor) at the Signature Program in Health Services & Systems Research (HSSR) and Centre for Quantitative Medicine (CQM) at Duke-NUS, National University of Singapore, and as Research Scientist at National Neuroscience Institute. I collaborate in several research projects in various health domains like Neurology and Neuroscience (National Neuroscience Institute), Singapore General Hospital (SGH), ophthalmology (Singapore National Eye Centre), genetics and genomics, oncology (National Cancer Centre Singapore), heart disease (National Heart Centre Singapore), paediatrics and gynecology (KK Women’s and Children’s Hospital).
I lead the AI + Neurology at Duke-NUS AI + Medical Sciences Initiative (DAISI), a visionary leading a collaborative effort between top neurologists and data scientists. Together, we pioneer groundbreaking advancements at the intersection of AI and neurology, redefining the future of healthcare with each innovative stride:
I’m actively pursuing new challenges in machine learning to further enhance my expertise. Specifically, I aim to apply AI/ML techniques in the below two clinical domains. Through this endeavor, I aspire to push the boundaries of innovation and make meaningful contributions to healthcare:
- Neurology/Neuroscience: I have secondary appointment as visiting scientist with National Neuroscience Institute where I am involved in many exciting research projects.
- Emergency department: I do a lot of collaboration projects with professors and scientists at HSSR at Duke-NUS Medical School and SGH where I have been working on fascinating collaborative projects.
With a robust foundation including a PhD in Statistics and over a decade of expertise in advanced statistical modeling of biomedical data, my focus has recently shifted towards pioneering methodologies in neurological sciences. I harbor a keen interest in leveraging machine learning techniques to construct predictive models, with a strong emphasis on meticulous validation and replication of results.
The research on which I have collaborated can be found via my LinkedIn, and Google Scholar page.
In addition to my research pursuits, I’ve been actively engaged in teaching and mentoring medical students at Duke-NUS. I’m delighted to extend my mentorship to third-year medical students eager to delve into research within the aforementioned domains. My aim is to nurture their passion for discovery and guide them in making meaningful contributions to the field.