ORCID iD: 0000-0002-8846-7515
Scopus Author ID: 56609906200
Google Scholar Profile: bgNd5a4AAAAJ

Metrics for Academic and Research Impact

MD, PhD(JNU), MPH(HK), MMSc(Harvard), EMBA Class of 2026 (Cantab), PostDoc(Oxon), PostDoc(Harvard), DipMed(CUHK), PDipCAH(HK), CertClinDerm(Lond), FRSPH(UK)

Professor MING Wai Kit is an Associate Professor (with tenure) in Public Health and Epidemiology, Assistant Director of the Institute of Global Governance and Innovation for a Shared Future, and the Programme Leader of the Master of Public Health (MPH) at the City University of Hong Kong. He is an experienced clinical doctor and medical educator, with over 15 years of experience teaching and mentoring medical students. To date, he has supervised more than 100 undergraduate and postgraduate research students.

Prof. Ming received his postdoctoral training at the University of Oxford, where he was a fellow at the Nuffield Department of Obstetrics and Gynaecology and the National Perinatal Epidemiology Unit (2015–2016). He subsequently completed a second fellowship at Brigham and Women’s Hospital and Harvard Medical School, within the Division of Pharmacoepidemiology and Pharmacoeconomics (2016–2018). He earned a Master of Medical Sciences in Clinical Investigation from Harvard University in 2018 and is currently pursuing an Executive MBA at the University of Cambridge (2024–2026), with a focus on leadership and health systems innovation.

As a clinician-epidemiologist, Prof. Ming has, over the past decade, led and contributed to research initiatives spanning maternal and child health, infectious disease epidemiology, health policy, artificial intelligence in medicine, and health economics. His scholarship is characterized by a commitment to interdisciplinary methodologies and policy-relevant research. He has published over 150 peer-reviewed articles, holds an h-index of 27 (Scopus) and 29 (Google Scholar), and has been cited over 4,850 times. He was named among the top 2% of the world’s most-cited scientists in the Stanford citation ranking (2023 and 2024) and received the Thetos Young Scholar Award from CityU in 2024. His research on COVID-19 policy and surveillance has had notable translational impact both locally and internationally.

Prof. Ming also holds extensive memberships in academic societies, advisory committees, and expert panels. He serves as an Expert Member of the National Institute of Medical Insurance in China, a Member of the Guangdong Provincial Youth Federation and Deputy Secretary-General of its Hong Kong Sector, a Member of the Rehabilitation Advisory Committee of the Hong Kong SAR Government, and a Member of the Community Investment and Inclusion Fund Committee of the Hong Kong SAR Government. He is also a Member of the Kwun Tong District Fight Crime Committee and Convenor of its Youth Education Subgroup, a Member of the Kwun Tong Healthy City Steering Committee, Vice Chairperson of the Kwun Tong District Youth Community Building Committee, and Vice Chairperson of the Yau Tsim Mong Healthy City Executive Committee.

In addition, he is a Member of the Committee of Experts on Rare Diseases of the Guangdong Pharmaceutical Association, a Senior Member of the Community Medicine Committee of the Guangdong Preventive Medicine Association, a Member of the Evidence-based Medicine Committee of the Guangdong Medical Association, and a Youth Member of the Chinese Academy of Maternal-Fetal Medicine. He also serves as a Member of the Cancer Prevention Committee of the Guangdong Preventive Medicine Association, a Member of the Guangdong–Hong Kong–Macau Bay Area Urogenital Alliance, and an External Member of The Association of Licentiates of the Medical Council of Hong Kong.

Internationally, Prof. Ming is a Fellow of the Royal Society for Public Health in the United Kingdom, a Member of the Oxford University Hospital Trust, a Member of the Institute of Electrical and Electronics Engineers (IEEE) in the United States, and a Member of the American Statistical Association (ASA) in the United States.

Prof. Ming is always looking for motivated undergraduate summer research students/postgraduate internship students/PhD students/postdoctoral fellows/research assistants, especially quantitative and creative individuals who are not afraid to do something totally new.

Potential postdoctoral fellows/PhD candidates will be selected from highly qualified, early-career researchers so that they are positioned to become leaders in their respective academic fields. Fellows will have experience in independently managing a discrete area of a research project and contributing ideas for the next stage. Excellent communication skills are essential, along with experience contributing to publications and presentations. The training is focused on enhancing your ability at every stage of the research process. Using in-person seminars and dynamic workshops, lectures, and reading groups, the fellows pursue new knowledge within and across disciplines and foster intellectual exchange among the university's undergraduates, graduate students, and faculty.

Opportunities to work with big data, electronic health records, real-world data, and methodological research in this area will be available. Self-funded visiting students and visiting scholars are welcome. Potential candidates holding an MBBS, MD, PhD, DMD, DDS, PharmD, DNP, MPH, MSc, MA, MEng or an equivalent degree are eligible to apply. Graduates from the fields of medicine/nursing/economics/policy/statistics/computer science/related subjects are welcome. Clinicians, residents, and lecturers who demonstrated strong career interest in clinical/public health policy research are also eligible to apply.

Our team is committed to fostering an environment of equality, diversity, and inclusion. The working hours are flexible to complement care responsibilities.

Research Area

Clinical research, infectious epidemiology and control, disease modelling, medical statistics, health economics, health policy, artificial intelligence in medicine
Possible research fields:

• Answering high-impact questions to inform clinical decision-making
• Developing and implementing cutting-edge methods for infectious epidemiology and control
• Developing cutting-edge tools that improve health economics research
• Developing cutting-edge artificial intelligence applications in medical diagnoses and treatments

If you are interested in this opportunity or have any questions, contact Prof. Ming at [email protected]