Hidenobu Shigemitsu Tokyo Medical and Dental University; TMDU
Satoru Hashimoto JSICM/Kyoto Prefectural University of Medicine; KPMU
Naoaki Ichihara University of Tokyo
Hiroaki Miyata University of Keio
Leo Anthony Celi Massachusetts Institute of Technology; MIT
Hiroshi Tanaka TMDU
Hajime Karasuyama TMDU
Tatsuhiko Tsunoda TMDU
Toshihiro Tanaka TMDU
Akinori Kimura TMDU
Masamitsu Sanui Jichi Medical University Saitama Medical Center; JMU-SMC



Speaker/Datathon facilitator
Medicine in the Age of Machine Learning and Artificial Intelligence

Leo Anthony Celi has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. He holds a faculty position at Harvard Medical School as an intensive care specialist at the Beth Israel Deaconess Medical Center and is the clinical research director for the Laboratory of Computational Physiology (LCP) at MIT. He 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.

Datathon facilitator

Christina Chen is a physician scientist who is an Instructor at Harvard Medical School, staff nephrologist at Beth Israel Deaconess Medical, and a research scientist at the MIT Laboratory for Computational Physiology.   She currently attends on the nephrology consult service at BIDMC and has an outpatient renal clinic where she works with medical students, residents, and fellows.  With her background in engineering and medicine, she hopes to help bridge the gap between data scientists and clinicians to answer innovative questions.  Her current research interests include studying acute kidney injury as well as using echocardiography to determine effects of cardiac dysfunction on outcomes. 

Datathon facilitator

Alistair E. W. Johnson joined the Laboratory for Computational Physiology as a postdoctoral associate in 2015. He received his B.Eng in Biomedical and Electrical Engineering at McMaster University, Canada, and subsequently read for a D.Phil in Healthcare Innovation at the University of Oxford. His thesis was titled “Mortality and acuity assessment in critical care”, and its focus included using machine learning techniques to predict mortality and develop new severity of illness scores for patients admitted to intensive care units. Before joining the LCP, Alistair spent a year as a research assistant at the John Radcliffe hospital in Oxford, where he worked on building early alerting models for patients post-ICU discharge. Alistair’s research interests revolve around the use of data collected during routine clinical practice to improve patient care.

Datathon facilitator

Patrick D. Tyler is a resident physician in emergency medicine at Beth Israel Deaconess Medical Center, where he also completed residency in general internal medicine. He has worked extensively with multidisciplinary groups of clinicians and data scientists in the Laboratory for Computational Physiology. Patrick studied philosophy at the University of Virginia, and completed his M.D. at Northwestern University with distinction in research.  His current research interests include hospital and health systems operations, machine learning approaches to large clinical data sets, and clinical implementation of “big data” solutions.

Datathon facilitator

Ryo Uchimido is a research fellow at the Department of Emergency Medicine, Beth Israel Deaconess Medical Center. He received his medical degree from Toyama University School of Medicine in Japan, and completed his residency in Emergency Medicine at Tokyo Bay Medical Center.  He is currently a candidate for Master of Public Health at Harvard T.H Chan school of Public Health. He research interests include sepsis biomarkers of sepsis and the application of machine learning to improve its treatment.

Datathon facilitator

Chen Xie has been a research programmer at the LCP since receiving his MEng in Biomedical Engineering from Imperial College London in 2015. He works to develop and expand the tools and content of Physionet, including the WFDB software packages. His interests include signal processing of high-resolution physiological waveforms, and the open distribution of healthcare data.


Speaker/Datathon facilitator
Data Science to Improve our Understanding of Health and Disease

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.

Datathon facilitator

Calvin J. Chiew is a resident in the National Preventive Medicine Residency Program in Singapore. He is currently serving as a clinical epidemiologist at Tan Tock Seng Hospital’s Office of Clinical Epidemiology, Analytics & Knowledge. Previously, he worked as a physician in the local hospitals and primary care clinics, 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.

Big Data and Quality Improvement in Healthcare

Kee Yuan Ngiam is the CTO of the National University Health System. He is also 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.


Global Open Source Severity of Illness Score

David Pilcher is Deputy Director of Intensive Care at The Alfred Hospital in Melbourne. He trained in respiratory and general medicine in the UK before moving to Australia in 2002 to undertake training in Intensive Care Medicine. His interests include organ donation, lung transplantation, ECMO, severity adjustment of ICU outcomes, ICU performance monitoring and the epidemiology of Intensive Care medicine. He is the Director of the  ANZICS Adult Patient Database (ANZICS APD) and a medical advisor to DonateLife in Victoria. He is also a Monash University Practitioner Fellow and Adjunct Clinical Professor with the Department of Epidemiology and Preventive Medicine at Monash University.

Datathon facilitator

Qualified originally in the UK, Shawn Sturland trained in Anaesthesia and Intensive Care Medicine in Australiasia. He has practised as a Specialist Intensivist at Wellington Regional Hospital  ICU for twelve years, with six years as Medical Director.  Alongside clinical practice, he is now the Clinical Executive Director for Quality Improvement and Patient Safety at Capital and Coast District Health Board. His interested are in using data for quality and systems improvement.

Datathon facilitator

Mataroria Lyndon is a physician from New Zealand where he is a Senior Lecturer in Medical Education at the University of Auckland. He was previously a Clinical Lead for at Ko Awatea, the Centre for Healthcare Innovation and Improvement at Middlemore Hospital. His research field is in performance measurement of healthcare systems, and has completed his PhD in medical education. He then completed his Masters of Public Health at Harvard University as a Fulbright and Frank Knox Fellow in 2017. Mataroria is passionate improving the healthcare through public health and medical education, and reducing disparities through mobile health technologies.

University of the Philippines Manila

Datathon facilitator

Raymond Francis Sarmiento is a physician-scientist and currently serves as the Director of the National Telehealth Center, National Institutes of Health, University of the Philippines Manila. He also serves as the Chief Data Protection and Privacy Officer of the University of the Philippines Manila, Data Protection Officer of the Philippine General Hospital, and is a Clinical Assistant Professor of the UP College of Medicine's Medical Informatics Unit on data warehousing and data modeling and design. He is also the Terminology Services Expert for the Standards and Interoperability Lab for Asia (SIL-Asia) and is an active member of the Asia eHealth Information Network (AeHIN). He sits in the Philippine National eHealth Technical Working Group as the representative from the academe, and is the lead data science / data analytics consultant for the health insurance claims fraud detection project with PhilHealth. Raymond graduated from the University of the Philippines College of Medicine in 2008 and served as the Coordinator for Research and Development (and concurrently, as Field Services Coordinator) of the National Telehealth Center prior to moving to international public health research and health data surveillance and continuing on with informatics work. He finished his Public Health Informatics Fellowship (2014-2016) in the Division of Surveillance, Hazard Evaluations, and Field Studies at the National Institute for Occupational Safety and Health (NIOSH), U.S. Centers for Disease Control and Prevention (CDC). Prior to joining CDC, he completed a two-year postdoctoral fellowship (2012-2014) in clinical informatics at the Lister Hill National Center for Biomedical Communications (LHNCBC), NLM, National Institutes of Health (NIH) in Bethesda, Maryland, USA. He has been published in international conference proceedings and peer-reviewed journals, including two book chapters published by MIT Press and Springer."

Ministry of Education, Culture, Sports, Science, and Technology of Japan

原 克彦 Katsuhiko Hara
Director, Research Promotion Bureau
Ministry of Education, Culture, Sports, Science, and Technology of Japan




Datathon facilitator

Hidenobu Shigemitsu is professor and chair of the department of Intensive Care Medicine at Tokyo Medical and Dental University.  He also oversees the advancement of global initiatives and partnerships as the deputy chief of the Institute of Global Affairs at Tokyo Medical and Dental University.  He completed his fellowship education in critical care medicine and pulmonary medicine at Stanford University School of Medicine.  He held leadership positions at several institutions in the United States including professor and chief at University of Nevada School of Medicine prior to his current position.  His research interests include patient care system implementation and development of database in ICU.

Application of Machine Learning Methods to Drug Discovery

Takeshi Hase is a specially-appointed associate professor at laboratory for medical data science, Tokyo Medical and Dental University (TMDU). Recently, he has been working to design data science curriculum for doctoral students and postdoctoral fellows in medical and pharmaceutical departments and researchers in pharmaceutical, healthcare, and IT companies. Before joining TMDU, Takeshi spent seven years as a researcher at The Systems Biology Institute (, where he worked on various data analysis projects for drug discovery in collaboration with several pharmaceutical companies. One of his core interests is to leverage machine learning technologies in drug discovery research.

Datathon facilitator

Atsushi Shiraishi is Chief of Emergency and Trauma Center, Kameda Medical Center. He is the board-certified physician in neurology and acute medicine and Ph.D at Graduate School of Medical and Dental Science, Tokyo Medical and Dental University. His research interest was clinical research involving studies in neurology, emergency medicine, trauma and intensive care medicine, based on skills and knowledge in biostatistics with R and epidemiology. He is also a board member of multiple research committee in the Japanese Association for Acute Medicine and the Japanese Association for Surgery of Trauma.


Kenji Wakabayashi is a clinician scientist who is currently an assistant professor at the Department of Intensive Care Medicine at Tokyo Medical and Dental University (TMDU).  Having worked as a pediatrician in Japan, Kenji fulfilled his PhD at Imperial College London where he subsequently conducted a pre-clinical trial regarding to a novel therapeutic strategy for Acute Respiratory Distress Syndrome (ARDS).  He returned to Japan in 2013 to further pursue a career as a clinician scientist and he is now developing a unique translational research program in critical care while working as a qualified intensivist.  His main research interest is the mechanisms of critical illness including lung injury in both children and adults, ECMO, and multiple organ dysfunction syndrome.


Speaker/Datathon facilitator
All about JIPAD (Japanese Intensive care PAtient Database)

Satoru Hashimoto is a director of Intensive Care Medicine at the university hospital of Kyoto Prefectural University of Medicine(KPUM). He is an intensivist and at the same time contributing to hospital information technology. He also organized JIPAD (Japanese Intensive Care Patients Database) project as a leader. JIPAD is currently sponsored by Japanese Society of Intensive Care Medicine (JSICM) and now recruiting more than 50 ICUs in Japan and 150 more ICUs will participate in this project soon. The project is also collaborating with ANZICS APD and MIMIC III. He will hold a second datathon-Japan in March 8-10, 2019 at the Kyoto International Conference Center.

U Tokyo

Speaker/Datathon facilitator
Nurturing both the chicken and the egg:
the next steps in analytics/AI and data infrastructure in healthcare

Naoaki (Nao) Ichihara is an Assistant Professor at Department of Healthcare Quality Assessment, University of Tokyo (UT). He practiced as an invasive/non-invasive cardiologist at Kameda Medical Center and Yokohama City University (YCU) Hospital. Received Ph.D. at YCU Graduate School of Medicine and Master of Public Health (MPH) at Harvard T. H. Chan School of Public Health. Worked for Harvard University Health Services as a Data Analysist/Project Manager. Participated in development of a smartphone app for engaging patients to improve safety of care at Brigham and Women’s Hospital. Worked for OpenClinica, LLC., a company that produces an open-source software for clinical trials, as a Senior Business Analyst. At UT, he is involved in statistical analysis for clinical research, health services research, management of clinical registries, development of software tools for analysis, along with education of students. Serves as an external consultant on development and analysis of JIPAD. Also serves as an external consultant on health IT planning at YCU Medical Center.

Datathon facilitator

Shingo Tsuji is currently an assistant professor at Research Center for Advanced Science and Technology (RCAST), The University of Tokyo. He has been working on multi-omics data analysis for cancer research and also clinical information. His book titled Python Start Book (in Japanese) is one of the best seller book for introducing Python language. He also hosted online lecture course for Python data science at Udemy. Currently, his research focus is on network embedding, which is a fusion technique of complex network science and dimensionality reduction.


Datathon facilitator

Masamitsu Sanui is Professor and Chair, Department of Clinical Surgery, Director, Division of Anesthesiology and Critical Care Medicine, Vice-President, Jichi Medical University Saitama Medical Center. He completed his residency and fellowship education in anesthesiology and critical care medicine at University of Miami Miller School of Medicine in USA. He was ex-Chair of the Executive Board of the Japanese Society of Education for Physicians and Trainees in Intensive Care (JSEPTIC) and the President of JSEPTIC Clinical Trial Group. His research interests include tele-medicine, clinical application of medical informatics, cardiovascular monitoring, ventilator management, and delirium.


Datathon facilitator

Kazuki Nishida is a PhD student in Department of Biostatistics, Nagoya University Graduate School of Medicine. He graduated Nagoya University School of Medicine, and completed his residency in Kainan Hospital, Aichi, Japan. Since he had special interest in the principles of biostatistics, he chose to become a biostatistician rather than working as a clinician. He currently engages in many medical research projects so as to bridge biostatistical design and analysis toward statistical problems encountered in these projects.


Datathon facilitator

Keith A. Boroevich is a research technician in the Laboratory for Medical Science Mathematics at RIKEN Center for Integrative Medical Sciences. He received an M.Sc. from the CIHR/MSFHR Strategic Training Program in Bioinformatics at Simon Fraser University in Canada in 2005. A main focus of his work has been genomic sequencing analysis. As a bioinformatics researcher in the Davidson Research Group at SFU, his primary work was in the integration of the physical and genetic maps of Atlantic salmon and the initial stages of the Atlantic salmon genome project, which was assembled using both traditional Sanger and NGS technology. At RIKEN, he has contributed to the construction and analysis of the first whole genome of a Japanese individual, and as part of the International Cancer Genome Consortium (ICGC), provided analyses of 300 hepatitis B and C virus associated hepatocellular carcinomas (HCCs). Current research interests include the incorporation of multi-omic data and clinical data to predict trends in disease progression and survival.

Datathon facilitator

Artem Lysenko received his PhD from University of Nottingham in 2012. After that he has worked as bioinformatics scientist at Rothamsted Research (UK) and research associate at the National Heart and Lung Institute, Imperial College London before joining Laboratory for Medical Science Mathematics at RIKEN in 2015. His current work is primarily in the area of biomedical data science with particular focus on machine learning methods, multiomics and analysis of biological networks.

Medical Intelligence and Innovation Institute (Mi3)

Datathon facilitator

Hironobu Matsushita is currently a professor at Tokyo University of Information Sciences where he leads such courses as health administration and healthcare innovation. Prior to the current position, Dr. Matsushita was a professor of management of technology at Tokyo University of Agriculture and Technology where he researched the ICT-driven innovation particularly in healthcare industry. Before acting as an academician Dr. Matsushita was an entrepreneur; he founded, grew substantially and successfully sold his own innovation-driven high-tech company or CareBrains, Inc. to a public company. He is the author of sixteen books and numerous papers focusing on technological, social and innovation aspects of healthcare. His clients include Juntendo University Hospital, Kitasato University Hospital, Keio University Hospital and Nagoya University Hospital and so forth. Dr. Matsushita provided his expertise in healthcare innovation to the Cabinet of Japanese Government as a key member of the Cabinet Task Force in the Social and Healthcare Innovation as from 2008 to 2009. He obtained his master of science degree in health administration from Cornell University and his Ph.D. from Tokyo Institute of Technology.

Datathon facilitator

Keiji Yano is Program director in the MIT Industrial Liaison Program Japan in Tokyo. The MIT Industrial Liaison Program (ILP) is dedicated to creating and strengthening mutually beneficial relationships between MIT and corporations worldwide. Established in 1948, the ILP continues to be a key player in making industrial connections for MIT.    He has been enjoying connecting Japanese ILP member companies with the MIT community since 2008. Prior to joining the ILP, Yano managed his own consulting company while he was a visiting researcher at the MIT Whitehead Institute for three years. Prior to that, he was the technical area manager for the Asia/Pacific region at Coventor an MIT-connected startup software company developing MEMS.

Datathon facilitator

George Konno started working at the age of 16, and began running a regional ISP, and covered and contributed to papers such as the Nikkei SHINBUN Newspaper about overseas multimedia services as a video journalist. Engaged in venture capital businesses as a board member of the Asian Groove and the investment firm, i-seeds. The online gaming company that he has invested in has gone public in Japan and is currently a driving force in the Japanese online gaming business. Later, worked as the representative of ESPRE, Inc., the publisher of ECOCOLO magazine, which was the precursor of LOHAS (lifestyles of health and sustainability). Currently takes part in the projects of LOHAS media and social entrepreneurs as an adviser. Knowledgeable in intellectual property rights and licensing businesses, and planned, organized, produced and managed the e-commerce operating business for FIFA within Japan. Currently works with various companies in consulting services and WEB marketing businesses.

Datathon facilitator

Jun Suto is an evangelist and a multiplier of business, social, and innovation impacts. He passionately believes in talents in all mankind and that we, people, are the core engines to the world of abundance. While he helps startups to Fortune Global 25 companies (Berkshire Hathaway, Hitachi, and the likes) across the wide range of industry spectrum as a global management consultant with stronghold in Americas and Asia, Jun promotes exponential technologies, produces innovation labs, Learn Do Share (, the genesis of Columbia University’s Digital Storytelling Lab), and speaks at various business schools to inspire the next generations of change-makers and innovators.
- XPRIZE ( VISIONEERS Prize Developer
- Winner, Singularity University ( Global Impact Challenge (Japan, 2018)
- Finalist, Singularity University Global Impact Challenge (Japan, 2017)
- StartingBloc ( Social Innovation Fellow