Dang Trung Kien
David Wong Liang Tai
Jeon Young Seok
Max Pan Ziyuan
P Mukkesh Kumar
Watt Pei Yi
Dr Ngiam Kee Yuan
is a Consultant General Surgeon specialising in Thyroid and Endocrine surgical disorders. Following the completion of his Advanced Specialist Training in General Surgery, he was awarded a fellowship from the Royal College of Surgeons of Edinburgh and was accredited as a surgical specialist by the Specialist Accreditation Board, Singapore. He is concurrently the Deputy Chief Medical Informatics Officer at the National University Health System and Director of Surgical Research and Development at the Department of Surgery, School of Medicine, National University of Singapore. Dr Ngiam’s special interests are in thyroid and endocrine surgery, robotic thyroid surgery, bariatric and metabolic surgery as well as machine learning in clinical informatics.
A/Prof Mengling Feng
is currently an Assistant Professor at National University of Singapore with School of Public Health, School of Medicine and School of Computing. He is also the Senior Assistant Director of National University Hospital championing the big data analytics efforts. Dr Feng is also an affiliated scientist with the Lab of Computational Physiology, Harvard-MIT Health Science Technology Division. His research is to develop effective Big Data management and analysis methods to extract actionable knowledge to improve the quality of care. His research brings together concepts and tools across machine learning, optimization, signal processing, statistical causal inference and big data management. In particular, he has been publishing on physiological signal forecasting, modeling of disease progress trajectory, dynamic patient phenotyping, statistical understanding of treatment effects and management of heterogeneous medical big data. Dr. Feng’s work was recognized by both well-established journals, such as Science Translational Medicine, and top international conferences, such as KDD, AAAI and AMIA.
is currently the Global Lead for The Academia Industry Partnership Organization (AIPO) at MSD Singapore. Her organization fosters relationships among MSD and Academia, Governmental Agencies, Accelerators and Incubators, NGOs, and NPOs. AIPO also catalyzes collaborations and innovation models, partners, ecosystems, and communities - fostering knowledge and technology transfer and talent development. Her organization's present-day focus includes but is not limited to technology evaluation and knowledge sharing in Digital Health, Precision Medicine, Big Data and Analytics, AI and 3D printing areas. As part of her role in AIPO, Inka has designed and organized the Singapore Grand Challenge – an event gathering students across 8 universities in Singapore to design solutions for Digital Health. Before joining MSD in 2014, Inka held various global positions at Sun Microsystems and Oracle Corporation.
Dr Leo Anthony Celi
has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and as an attending physician at the Beth Israel Deaconess Medical Center (BIDMC), he brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the public-access Medical Information Mart for Intensive Care (MIMIC) database, which holds clinical data from over 60,000 stays in BIDMC intensive care units (ICU). It is an unparalleled research resource; over 5000 investigators from more than 70 countries have free access to the clinical data under a data use agreement. In 2016, LCP partnered with Philips eICU Research Institute to host the eICU database with more than 2 million ICU patients admitted across the United States. Leo also founded and co-directs Sana, a cross-disciplinary organization based at the Institute for Medical Engineering and Science at MIT, whose objective is to leverage information technology to improve health outcomes in low- and middle-income countries. He is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. The textbook “Secondary Analysis of Electronic Health Records” came out in October 2016 and was downloaded more the 100,000 times in the first year of publication. The massive open online course HST.936x “Global Health Informatics to Improve Quality of Care” was launched under edX in February 2017. Finally, Leo has spoken in 25 countries about the value of data in improving health outcomes.
Dr E Shyong Tai
is a dedicated endocrinologist devoted to looking into the epidemiology of diabetes and its related metabolic diseases in Singapore and Asia. As head of endocrinology at the National University Hospital, Dr Tai has led a review of the practice of endocrinology specifically in diabetes and other chronic diseases. As the director of the Patient-Centred Medical Home Program at the National University Health System, Dr Tai leads a pilot program at the NUH-Frontier Family Medicine Clinic to develop, implement and evaluate novel models of care for patients that could lead to improved population health and maximise the value derived from our healthcare system.
A/Prof James Yip
is currently a Senior Consultant in Department of Cardiology, National University Heart Centre, Singapore. He also holds the position of Group Chief Medical Information Officer in NUHS, and was previous Director for Congenital/ Structural Heart Disease. A/Prof James Yip graduated from the National University of Singapore in 1991 and has been a Fellow of the Academy of Medicine Singapore since 2001. He was trained in adult cardiology at the National University Hospital in Singapore from 1995 to 2001, and was a clinical fellow at Toronto Congenital Cardiac Centre for Adults from 2001 to 2002. He is currently the Director of the Adult Congenital Heart Programme at NUHCS in Singapore. His interests include pregnancy and heart disease, pulmonary hypertension, Marfan syndrome and medical informatics.
Calvin J Chiew
is a resident in the National Preventive Medicine Residency Program in Singapore. He is currently serving as a medical informatics officer at Singapore General Hospital. Previously, he worked as a physician in the local hospitals and polyclinics, and as a medical officer in the Singapore Armed Forces Medical Corps. He obtained his medical degree from the National University of Singapore and Master of Public Health (concentration in Quantitative Methods) from Harvard University. He has a keen interest in health data science and medical informatics.