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. Aung Myint Oo @ Ye Jian Guo is a Senior Consultant Surgeon in the Department of General Surgery and a Deputy Chief Medical Informatics Officer in Tan Tock Seng Hospital, Singapore.

He is also a clinical senior lecturer at the Yong Loo Lin School of Medicine, National University of Singapore, and both a clinical teacher and the Clinical Module Lead for Gastrointestinal System, with Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore.

Dr. Aung completed his basic and advanced surgical training in Singapore. He was awarded Health Manpower Development Plan (HMDP) scholarship to undergo his fellowship training in advance minimally invasive upper gastrointestinal surgery at Seoul National University Bundang Hospital, Korea. He is a member of international societies for endo-laparoscopic surgeons and bariatric surgeons. He is currently the scientific chairman of the Obesity and Metabolic Surgery Society of Singapore (OMSSS), vice chairman of Chapter of General Surgeons, College of Surgeons, Academy of Medicine Singapore, as well as member of the Communication Committee of International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO). He also sits on the executive committee of SingSPEN (Society of Parenteral and Enteral Nutrition, Singapore) and is also a member of the Singapore Cancer Society Gastric Cancer Awareness Month Committee. He is actively involved in the Digital Transformation Project of ELSA (Endoscopic and Laparoscopic Surgeons of Asia) and is also the Co-Chair of ELSA's Communication & Informatics Committee.

Dr. Aung is active in both clinical research and teaching. He was awarded the Ministry of Health Healthcare Research Scholarship in 2013 to pursue Master of Clinical Investigation (MCI) at National University of Singapore and he was conferred MCI in 2016. He is also a Co-Investigator of international gastric cancer research trials. Not only has he published his research works in peer reviewed medical journals, he is also a reviewer of peer-reviewed medical journals. He is currently an instructor of Advanced Cardiac Life Support (ACLS) and Advanced Trauma Life Support (ATLS) courses, as well as a core faculty/ faculty of the Surgical Residency programmes in Singapore. He is also an e-tutor of MSc in Surgical Science, Edinburgh Surgical Science Qualifications, UK and a Visiting Lecturer to the Department of Thoracic Surgery, University of Medicine 1, Yangon in Myanmar, as well as a member of the Surgical Specialty Board in General Surgery with the Royal College of Surgeons of Edinburgh.

Chris Gough is Worldwide General Manager for the Health & Life Sciences team at Intel. In this role, he leads a team of technology leaders and subject matter experts to develop solutions that use information and communication technology to transform the health and life sciences industry. He works with organizations and governments around the world to help make this digital transformation a reality. With over 15 years of industry experience, Chris brings deep healthcare and life sciences expertise along with a foundation in technology and its application to multiple industries. He’s been with Intel for over 20 years and has previously served as Chief Healthcare Solution Architect and both product and security architect in Intel’s Digital Health Division. He holds a Bachelor of Science in computer science from the University of California at San Diego.

Dr Yuan Ni got her bachelor's degree from Computer science department, Fudan University in 2003 and her Ph.D. degree from the National University of Singapore, School of Computing at 2007. Before joining PingAn Health Tech, she was a senior research staff member in IBM Research, China. Her research expertise includes natural language processing, machine learning and semantic technology areas. In IBM, she has taken part in the Watson for Jeopardy! Project and Debater Project from 2008 to 2013. After that, she has worked on applying the technologies into the Healthcare industry. Dr Ni has published more than 20 papers in the top conferences including SIGMOD, ICDE, ISWC, WSDM, CIKM, MEDINFO, MIE and etc., and she has worked as the program committee for top conferences such as CIKM, ISWC, CSWC, APWeb and etc.

Dr Eddie Huang is NVIDIA’s APAC Solution Architect Director for Healthcare. He has extensive experience in medical imaging with high tech innovations built using GPUs and is familiar with the MedTech ecosystem as he previously led medical AI teams for production and services.

Professor Eui Kyu Chie is the CIO of Seoul National University Hospital and professor at Department of Radiation Oncology, Seoul National University College of Medicine. Before being appointed as CIO, Eui Kyu served as deputy chief of office of planning & budget at Seoul National University Hospital, which oversees operational strategy & tactics of Seoul National University Hospital group. He also served as director of division of research and development for medical information and played a key role in billing system upgrade, mobile EMR solution development, and system performance index upgrade. He also received award from Ministry of Education, Science and Technology for developing and implementing RT PACS solution.

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.

Chris Gough is Worldwide General Manager for the Health & Life Sciences team at Intel. In this role, he leads a team of technology leaders and subject matter experts to develop solutions that use information and communication technology to transform the health and life sciences industry. He works with organizations and governments around the world to help make this digital transformation a reality. With over 15 years of industry experience, Chris brings deep healthcare and life sciences expertise along with a foundation in technology and its application to multiple industries. He’s been with Intel for over 20 years and has previously served as Chief Healthcare Solution Architect and both product and security architect in Intel’s Digital Health Division. He holds a Bachelor of Science in computer science from the University of California at San Diego.

Dr Yuan Ni got her bachelor's degree from Computer science department, Fudan University in 2003 and her Ph.D. degree from the National University of Singapore, School of Computing at 2007. Before joining PingAn Health Tech, she was a senior research staff member in IBM Research, China. Her research expertise includes natural language processing, machine learning and semantic technology areas. In IBM, she has taken part in the Watson for Jeopardy! Project and Debater Project from 2008 to 2013. After that, she has worked on applying the technologies into the Healthcare industry. Dr Ni has published more than 20 papers in the top conferences including SIGMOD, ICDE, ISWC, WSDM, CIKM, MEDINFO, MIE and etc., and she has worked as the program committee for top conferences such as CIKM, ISWC, CSWC, APWeb and etc.

Dr Eddie Huang is NVIDIA’s APAC Solution Architect Director for Healthcare. He has extensive experience in medical imaging with high tech innovations built using GPUs and is familiar with the MedTech ecosystem as he previously led medical AI teams for production and services.

Associate Professor Daniel Ting is the Director of Singapore Health Service (SingHealth) AI Program, Head of AI and Digital Innovation in Singapore Eye Research Institute (SERI), Associate Professor in Ophthalmology with Duke-NUS Medical School Singapore.
 
For ophthalmology, he is the co-founder of EyRIS Pte Ltd, a spin-off company that has now licensed the deep learning technology to >20 countries worldwide in screening for 3 major blinding eye diseases, namely diabetic retinopathy, glaucoma suspect and age-related macular degeneration (AMD), a potentially blinding eye condition, for global population with diabetes that is projected to affect 1 billion people worldwide by 2040 (statistics from the World Health Organization). Recently, he has also developed a deep learning system in screening for myopia, a disease that is projected to affect 5 billion people by 2050. This deep learning system was encrypted using a novel state-of-art blockchain platform that is also developed by his AI lab to ensure data transparency and immutability.
 
At the global setting, Dr Ting serves in several AI executive committee (American Academy of Ophthalmology, USA and STARD, UK) and AI editorial boards (Nature Digital Medicine, Frontiers in Medicine and Ophthalmology). In 2017, he was also the US-ASEAN Fulbright Scholar who visited the Johns Hopkins University to deepen the AI collaboration between US and the ASEAN regions.
 
He is the regular invited chair, moderator and invited speakers in scientific conferences and prestigious universities (e.g., Trinity College at Cambridge, Oxford University, Johns Hopkins University and etc).
He has published >180 peer-reviewed papers in highly prestigious journals such as JAMA, NEJM, Nature Medicine and etc, and also 3 patents in the deep learning domains. In the recent ExpertScape ranking, he is also ranked the world’s most influential deep learning researcher across all domains in healthcare for the past 10 years (2010-2021).
 
For the accomplishment, Dr Ting was recognized by many top-tiered international AI and ophthalmology societies in winning many prestigious scientific awards, including the MICCAI OMIA Prestigious Achievement Award (2020), ARVO Bert Glaser Award for Innovative Research in Retina (2020), USA Macula Society Evangelos Gragoudas Award (2019).
 
With the advancement of AI technology, Daniel hopes to harness the power of digital technology, including big data, deep learning and blockchain, to improve patients’ outcome, experience, reduce health economic burden and more importantly, narrow the gap of inequality of health care access, standard and delivery globally.

is a serial Customer Experience Officer (CXO). As the first person to hold the title of CXO, she has been transforming companies with her approach to customer experience for 20 years. She’s a Marketing Maven, named one of the 40 under 40 Global Marketers. She also was recognized by the Stevie’s as Maverick of the Year for her impact on the health care marketplace. Her work has spanned the Fortune 500 - including Finance, Healthcare, CPG, Telco and Retail, working with companies to create differentiated customer experience strategies and redesign cultures. She’s held roles from CMO to CXO to President, and is known for how she leads with heart through transformations.

She’s a global keynote speaker, an author and through her company, Chief Customer, acts as a guide to organizations as they drive their customer experience and employee experience strategies.

is a physician by training and spent 10 years in an academic and research setting in Chicago, Illinois, and Baltimore, Maryland, in the U.S. She then transitioned her career over to the pharmaceutical industry. She worked in Pharmacovigilance and Medical Affairs in the Philippines, before moving to Singapore in 2010. She has led various regional Medical Affairs functions at a number of multinational healthcare companies, joining MSD in 2016.

Aileen received her medical degree from the University of the Philippines. She is board-certified by the American Board of Pediatrics and has advanced training in infectious diseases, microbiology, public health and epidemiology.

is leading the R&D of PingAn Health Technology. Making AI as the core technology and PingAn Cloud as the foundation, PingAn Health Tech builds the end-to-end healthcare solution which includes disease prediction, smart triage and pre-diagnosis, smart imaging, clinical decision support system (CDSS) and personalized patient management. PingAn Health Tech has set up the collaboration with many provinces & city level governments and has deployed the solutions in hundreds of health providers. Before joining PingAn, Dr Xie was the director of IBM Research China cognitive healthcare department and co-lead the IBM global healthcare strategy. He has more than 15 years in Artificial Intelligence (AI) and applying the technologies in healthcare areas. He has published more than 50 papers in top international conferences and obtained more than 40 patents. He has obtained IBM outstanding awards three times and was granted the best IBMer in 2016.

Chris Gough is Worldwide General Manager for the Health & Life Sciences team at Intel. In this role, he leads a team of technology leaders and subject matter experts to develop solutions that use information and communication technology to transform the health and life sciences industry. He works with organizations and governments around the world to help make this digital transformation a reality. With over 15 years of industry experience, Chris brings deep healthcare and life sciences expertise along with a foundation in technology and its application to multiple industries. He’s been with Intel for over 20 years and has previously served as Chief Healthcare Solution Architect and both product and security architect in Intel’s Digital Health Division. He holds a Bachelor of Science in computer science from the University of California at San Diego.

is an Associate Professor at Department of Population Health Sciences, Weill Cornell Medicine, Cornell University. His major research interest is data mining, machine learning and their applications in health data science. He has published on the top venues of related areas such as ICML, KDD, NeurIPS, AAAI, JAMA Internal Medicine, Annals of Internal Medicine, etc. His papers have received over 13,400 citations so far with an H-index 57. His (or his students’) papers have won 7 best paper (or nomination) awards at international academic conferences. His team won the championship of the NIPS/Kaggle Challenge on Classification of Clinically Actionable Genetic Mutations in 2017 and Parkinson’s Progression Markers Initiative data challenge organized by Michael J. Fox Foundation in 2016. Dr. Wang is the recipient of the NSF CAREER Award in 2018, as well as the inaugural research leadership award in IEEE International Conference on Health Informatics (ICHI) 2019. Dr. Wang is the chair of the Knowledge Discovery and Data Mining working group in American Medical Informatics Association (AMIA). Dr. Wang is a Fellow of AMIA.

is a John L. Loeb associate professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences. She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and interpretability.

is an Associate Professor at the NUS Saw Swee Hock School of Public Health where he is also the Vice Dean (Research). He works on infectious disease modelling and statistics, including dengue, influenza and other respiratory pathogens, and on population modelling to assess the effect of evolving demographics on non-communicable diseases such as diabetes. His multidisciplinary team brings together researchers from the fields of statistics, computational biology, computer engineering, mathematics, geography and environmental sciences.

is the Head of Health Data Science and AI in the Philips Patient Care Analytics business and leads the research for developing and validating product-related predictive algorithms and decision support tools. He is also an Adjunct Assistant Professor with the University of Maryland School of Pharmacy and Research Affiliate at the Massachusetts Institute of Technology. He earned a Master in Public Health degree with a focus in Epidemiology and Biostatistics from The Johns Hopkins Bloomberg School of Public Health and is currently the Program Manager for the Philips eICU Research Institute which supports collaborative research between industry, academia and clinicians using de-identified clinical data representing over 6 million ICU patients. Dr. Badawi is also a Fellow of the American College of Critical Care Medicine.

is an Assistant Professor Emerging Scholar in Computer Engineering at NYU Abu Dhabi, where she leads the Clinical Artificial Intelligence Laboratory. Her research expertise is in data science and machine learning for healthcare, data analytics for large-scale multi-modal data, and model interpretability. Her projects focus on real-world clinical problems to inform decision-making, including patient prognosis and diagnosis using electronic health records and medical imaging. Prior to joining NYU Abu Dhabi, Farah completed her doctoral studies (DPhil) in Engineering Science at the University of Oxford on the Rhodes Scholarship. At Oxford, she was a member of Balliol College. Farah also received her BSc in Computer Engineering from NYU Abu Dhabi.

is Customer Solutions Director at Fortanix and the serving General Member’s Representative to the Governing Board of the Confidential Computing Consortium. He gained a Doctorate in Business Administration from Henley Business School by developing a formal model of perceptual change and has had an extensive career in systems engineering, including work in the fields of natural language processing and social network analysis. His current projects involve the application of confidential computing to protect data in use and to secure sensitive machine learning and artificial intelligence applications across healthcare, financial services, government, and military use cases.

is a multidisciplinary researcher, trained as both an informatician and a clinically active radiologist. She is an assistant professor at Emory university, and works in Interventional Radiology and Informatics. She has been funded through the Grand Challenges Canada, NBIB and NSF ECCS. Her career focus is on validating machine learning models for health in real clinical settings, exploring explainability, fairness, and a specific focus on how algorithms fail. She has worked on the curation of datasets for the SIIM (Society for Imaging Informatics in Medicine) hackathon and ML committee. She volunteers on the ACR and RSNA machine learning committees to support the AI ecosystem to advance development and use of AI in medicine. She is currently working on the sociotechnical context for AI explainability for radiology, especially the dimensions of human factors that govern user perceptions and preferences of XAI systems.

areas of expertise involve the use of AI as well as optmization, equilibrium modeling and statistics-based methods for enabling effective real-time decision making for planning and operational problems in numerous domains. She has been named an IBM Master Inventor.
Her work spans the full lifecycle of a research solution from the definition of the research problem and its characterization, to the development of effective algorithms, to collaborations with the IBM software division culminating in the creation of commercial software products from the models and algorithms developed.

leads the company’s healthcare business segment across 17 markets in Asia Pacific. Dr. Priyadarshini is responsible for driving and implementing Microsoft’s healthcare initiatives across the region as well as developing solution offerings and strategies that meet the needs of healthcare and life science customers. She also plays a leading role in establishing thought leadership by defining and articulating the company’s vision for the future of healthcare and sharing how Microsoft technologies and partner solutions are making it a reality. Dr. Priyadarshini is passionate about empowering providers, payors, and life science companies with the right technology to enable better patient outcomes at lower costs. Improving the quality of healthcare through digital transformation, enabling wider access to healthcare as life expectancy increases, and keeping rising costs in check are issues that keep her awake at night. Her desire is to create a world of ‘Intelligent Healthcare’ through AI and the cloud, to unlock biological insight and break data from silos for a truly personal understanding of human health and in turn, enable better access to care, lower costs and improved outcomes.