I am eager to connect with leading minds in academia and life sciences, exchange ideas, and gain insights into the latest advancements in the field. My primary interest lies at the intersection of AI and healthcare, particularly in developing AI-driven interventions to improve patient outcomes.
I am designing an AI-driven, app-based brain training program for heart failure patients with cognitive impairment, utilizing implementation science approaches. This program integrates avatars, chatbots, and gamification to enhance user engagement and effectiveness. My background in public health has equipped me with a population health perspective, strong epidemiological knowledge, and essential statistical skills. Now as a PhD student at the Alice Lee Center for Nursing Studies, School of Medicine, NUS, I am deepening my expertise in intervention research and experimental methodologies.
Beyond academia, I worked in a pharmaceutical company. This experience has provided valuable insights into commercial operations, bridging the gap between academia and real-world implementation. This unique combination allows me to contribute a distinct perspective to the forum.
By participating in this world-class academic exchange, I hope to engage in meaningful discussions on cutting-edge healthcare solutions, collaborate with experts from diverse disciplines, and explore opportunities for scaling and translating innovative interventions into clinical practice.

My research focuses on cognitive aging in heart failure (HF) and the development of AI-powered brain training programs to improve cognitive function and self-management in HF patients. I aim to co-design and evaluate an AI-driven, app-based brain training program for older HF patients with mild cognitive impairment (MCI).
Currently, I am conducting a systematic review to identify modifiable risk factors for cognitive impairment and dementia in HF patients. I am also reviewing the feasibility and effectiveness of existing mHealth-based cognitive training programs for older adults with MCI.
Building on this evidence, I plan to use a user-centered approach to develop a culturally tailored, gamified app integrating cognitive modules, avatar-based AI support, and HF self-management tools. A pilot randomized controlled trial will assess its feasibility (adherence, retention) and preliminary outcomes, including cognitive function, brain-derived neurotrophic factor (BDNF), psychosocial well-being, and quality of life.