Dr. Phat K. Huynh is an assistant professor in Industrial and Systems Engineering Department at North Carolina A&T State University. He earned his Ph.D. in Industrial Engineering at University of South Florida, a Master's in Industrial Engineering and Management at North Dakota State University, and a Bachelor's in Biomedical Engineering from International University – Vietnam National University. He has published extensively in prestigious peer-reviewed journals like Artificial Intelligence in Medicine, IEEE Journal of Biomedical and Health Informatics, Sleep, IISE Transactions on Healthcare Systems Engineering, and PLOS ONE. His work has been recognized with awards like the IISE Quality Control and Reliability Engineering Division William A. Golomski Award and Doug Ogden Award from Society of Reliability Engineers (SRE) for several best technical papers. 

Dang H. Nguyen, MS, is a Vingroup Scholar and Presidential Public Service Fellow at Harvard University with training in AI, machine learning, biomedical engineering and clinical research. He graduated Tau Beta Pi with Honors from the University of South Florida and completed the Harvard Medical School Global Clinical Scholars Research Training Postgraduate Program. Dang Nguyen has held research roles across Harvard T.H. Chan School of Public Health, Stanford University School of Medicine, MIT Institute for Medical Engineering & Science, Beth Israel Deaconess Medical Center, and Massachusetts General Hospital. He serves as PI on a World Health Organization Global Noncommunicable Disease Platform project and has authored over 120 peer-reviewed publications in leading medical journals including the New England Journal of Medicine, The Lancet, JAMA, Nature Reviews Cardiology, BMJ, and PNAS. He is also Chief Scientific Officer and Board Director of Zone Corporation, a Harvard i-lab–incubated neurotechnology company developing AI-enabled wearable EEG and brain–computer interface technologies. 

Dr. Minh Huu Nhat Le, MD, PhD is pursuing his PhD in Medicine specializing in Cardiology and AI in Medicine at the AIBioMed Lab, Taipei Medical University. He collaborates with faculty at Beth Israel Deaconess Medical Center, Harvard Medical School, on the CardioVis project applying computer vision for real-time detection of mitral valve function, and leads transnational AI research on hepatitis B virus and liver cancer in partnership with the Johns Hopkins University School of Medicine. As a licensed physician with a strong clinical foundation in Vietnam, he previously served as a research scholar in the Clinical Research and Advanced Epidemiology program at Harvard Medical School. He has authored 70+ peer-reviewed journal publications and 50+ conference papers.

Dr. Olaniran Hezekiah Olabiyi, MBBS, MPH is a physician-researcher and global health innovator whose work bridges clinical medicine, artificial intelligence, and health systems engineering. He earned his Master of Public Health at the Harvard T.H. Chan School of Public Health with concentrations in Global Health, Mental Health, and Maternal Health. His publications include work in the Pan-African Medical Journal, Journal of the National Medical Association, Nigerian Medical Journal, and The Lancet Oncology. He is the CEO of Holan Healthcare, a social-impact venture advancing health equity and sustainable health systems in underserved African communities. He have been recognized with honors such as Harvard Hackathon Winner and Finalist, Seed for Change Competition for AI-driven climate health solutions. 

Dr. Truong Van Le is a medical doctor and clinical researcher at the Traditional Medicine Hospital, Ministry of Public Security, Hanoi, Vietnam. His research focuses on the application of artificial intelligence and machine learning in healthcare, particularly for early disease detection, cancer diagnostics, and multimodal clinical data integration. He has authored more than 20 peer-reviewed publications, including first- or corresponding-author papers in leading journals such as The Lancet Psychiatry, Bulletin of the World Health Organization, and Vaccine. His research spans global health epidemiology, vaccine policy evaluation, mental health surveillance, and the development of AI-driven analytical models for clinical and public health data to improve disease surveillance, predictive modeling, and personalized healthcare.