TMDU-MIT-NUS-ANZICS-JSICM Critical Data Workshops and Datathon 2020


Hidenobu Shigemitsu Tokyo Medical and Dental University (TMDU)
Satoru Hashimoto Kyoto Prefectural University of Medicine (KPMU)
Leo Anthony Celi Massachusetts Institute of Technology (MIT)
Satoru Miyano Tokyo Medical and Dental University (TMDU)
Hajime Karasuyama Tokyo Medical and Dental University (TMDU)
Tetsuya Taga Tokyo Medical and Dental University (TMDU)
Hiroshi Otake Showa University
Shunsuke Takagi Yokohama City University
Naoaki Ichihara University of Tokyo
Hiroaki Miyata Keio University
Masamitsu Sanui Jichi Medical University


Megu Baden

Megu Baden has been a postdoctoral research fellow at the Department of Nutrition, Harvard T. H. Chan School of Public Health until March, 2020. She is a board certified physician, diabetes specialist, and occupational physician in Japan. She is going back to the Department of Metabolic Medicine, Osaka University from April 2020, where she got his medical degree and PhD.
Her research interest is precision nutrition especially for prevention of diabetes and CVD, including 1) evaluating the impact of diet quality on health outcomes, 2) application of epidemiological evidence to clinical practice, and 3) approaching general people/patients to improve their lifestyles.

Leo Anthony Celi

Leo Anthony Celi MD MS MPH 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; close to 10,000 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 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 more than 25 countries about the value of data in improving health outcomes.

Marie Charpignon

Marie Charpignon grew up in Burgundy, France and studied engineering in Paris. She moved to the US to study Computational and Mathematical Engineering at Stanford University (’16). She is passionate about statistics for education and healthcare. After graduation, she joined Microsoft as a data scientist focusing on education technology. There, she built models to better understand online collaboration, studied the impact of technology usage at school and organized STEM workshops for high school girls. She is currently a second-year graduate student in the interdisciplinary PhD program in Statistics at MIT Institute for Data, Systems and Society. Her work on Electronic Health Records combines mathematical modelling, data analysis and policy.

Dan Ebner

Dan Ebner is a 2019 MPH candidate and Siegrist Family Fellow at Harvard TH Chan School of Public Health, with a concentration in Health Policy and Management. Concurrently, he is a 2020 MD candidate at the Warren Alpert Medical School of Brown University, where he previously served as student body president, and an inaugural Zetema Fellow.
Previously, he has worked as an independent consultant for the Japanese government, as well as performed translational, clinical, and public health research with teams at Kyoto University, the University of Tokyo, and most recently the National Institute of Radiological Sciences in Japan, yielding 30+ publications in the last 3 years. His current focus is on the ethical deployment of artificial intelligence and technological entrepreneurship within the medical field.

Zhaoyuan Fan

Zhaoyuan Fan is currently a lecturer in School of Economics, Nanjing University of Posts and Telecommunications (NJUPT). She got her Ph.D. of Quantitative Economics at Huazhong University of Science & Technology in 2017. After she got her master of Probability Theory and Mathematical Statistics in school of Mathematics and Statistics, Huazhong University of Science & Technology, she worked as a senior data analyzer in Merkle for one year. During this period, she collects, analyses the data of medical consumption, builds models and provides policy. Her research interests include machine learning in quantitative economics, health in big data and economic development.

Mengling (Mornin) Feng

Mengling (Mornin) 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.

Takeshi Hase

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.

Wang Han

Wang Han is currently a Research Assistant and PhD candidate in Saw Swee Hock School of Public Health in National University of Singapore. His research interest is machine learning and natural language processing in healthcare data, e.g. heart rate variability time series modelling, clinical notes generation based on EHR data, etc. He has been a mentor/speaker for various Datathon events in Tokyo, Seoul, Beijing, Taipei and Singapore.

Satoru Hashimoto

Satoru Hashimoto is a director of Intensive Care Medicine at the university hospital of Kyoto Prefectural University of Medicine. 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 and now recruiting more than 50 ICUs in Japan and 150 more ICUs will participate this project soon. The project is collaborating with and backed up by ANZICS CORE and MIMIC III.

Yutaka Hishiyama

Yutaka Hishiyama joined the Science and Technology Agency, the Prime Minister Office in 1985. He served at the Embassy of Japan in Germany as the First Secretary in charge of Science, Technology and Environment from 1995 to 1998. From 2001 to 2003, he was the Director, Office of Bioethics and Biosafety, the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and in charge of ethical, legal and social implications (ELSI) in terms of cutting-edge life sciences. He attended the Inter-governmental Bioethics Committee (IGBC) in the UNESCO several times. He assumed to the Director, Life Science Division in 2007 and was in charge of life sciences policy until 2009.He promoted stem cell research, especially iPS Cells research, brain research, clinical research and so on. From 2013 to 2015, he was Deputy- Director General, Office of Healthcare Policy, Cabinet Secretariat. He strongly promoted development of a new initiative for medical research and development, and worked hard to establish the new funding agency for medical research and development called the Japan Agency for Medical Research and Development (AMED). He assumed to the Senior Director of AMED on the day of the establishment of the Agency in April, 2015, then promoted to the Executive Director of AMED on April 1, 2017. In January of 2019, he assumed to the Assistant Minister for Cybersecurity, IT Management and Evidence-based Policymaking in the MEXT. In July of 2019, he assumed to the Assistant Minister/Director General, Science and Technology Policy Bureau.
1985年4月 東京大学医学部保健学科卒、科学技術庁入庁 1995-98年 在ドイツ日本大使館書記官(科学技術、環境担当)
2001年1月 文部科学省研究振興局ライフサイエンス課生命倫理・安全対策室長
2003年7月 政策研究大学院大学教授
2005年7月 日本学術会議事務局参事官
2007年1月 文部科学省研究振興局ライフサイエンス課長
2009年7月 同省大臣官房文教施設企画部計画課長
2010年7月 独立行政法人科学技術振興機構経営企画部長
2012年4月 文部科学省研究振興局振興企画課長
2013年4月 同省大臣官房審議官・兼内閣審議官・内閣官房健康・医療戦略室次長
2013年10月 内閣審議官・内閣官房健康・医療戦略室次長
2015年4月 研究開発法人日本医療研究開発機構執行役
2015年4月 同機構理事
2019年1月 文部科学省大臣官房サイバーセキュリティ・政策立案総括審議官兼内閣府地方創生推進事務局審議官
2019年7月 文部科学省科学技術・学術政策局長

Naoaki (Nao) Ichihara

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.

Euma Ishii

Euma Ishii is an MD-PhD candidate at the Tokyo Medical and Dental University. He believes the marriage between health systems strengthening and data-backed technology is key for realizing a world without inequality or poverty. He has experience ranging from chemotherapeutic simulation modeling to drafting global health policy proposals, but has found his calling as a potential liaison between Japan and the world, specifically to improve healthcare systems. His goal in life is to realize a world where all have basic human rights and can make a living doing what they love. As an affiliate of MIT's Laboratory for Computational Physiology, he performs retrospective cohort studies and applies predictive approaches for improving patient care. In his spare time, he works to facilitate international partnerships, and is currently setting up the Japan branch of Global Citizen, a movement of engaged citizens using their collective voice to end extreme poverty by 2030.

Patrick Kosuke Kimes

Patrick Kosuke Kimes PhD is currently a postdoctoral research fellow in the lab of Professor Rafael Irizarry at the Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health. As an applied statistician and bioinformatician, his research has spanned the development and application of statistical methods for studying the molecular mechanisms underlying human health and disease. Recently, his research interests have shifted to applications of machine learning to medical imaging for the identification of therapeutic biomarkers and the improved detection and diagnosis of disease.
Prior to joining the Irizarry lab, he was a Principal Scientist in Bioinformatics at Roche Sequencing developing computational pipelines for sequencing-based molecular diagnostics. He completed his PhD in statistics at the University of North Carolina at Chapel Hill with Professors Yufeng Liu, JS Marron and Neil Hayes, working on problems in statistical machine learning and contributing data analyses to The Cancer Genome Atlas (TCGA) project.

Takahiro Kinoshita

Takahiro Kinoshita, MD is a current MPH candidate at Harvard T.H. Chan School of Public Health. He has finished the residency of emergency medicine at Osaka General Medical Center and worked as an emergency physician/neurosurgeon for 9 years. He is a co-founder and secretary-general of the Japanese Association for Hybrid Emergency Room System. He has focused his research interest on the broad areas of emergency medicine and critical care including trauma, thrombosis/hemostasis, and nosocomial infection.

Gloria Hyunjung Kwak

Gloria Hyunjung Kwak is a Ph.D. candidate in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. She specializes in applying artificial intelligence (AI) to data from the medical and dental fields. Gloria received a master degree in machine learning at University College London and worked as a senior data scientist at Deloitte and LG. She is interested in developing innovative AI health systems for early identification and new phenotypic discovery, as well as viable portable algorithm-based devices to solve the world's most challenging problems.

Satoru Miyano

Satoru Miyano PhD will be the Director of M&D Data Science Center of the Tokyo Medical Dental University from April 2020 after the end of his term of the Director of Human Genome Center, Institute of Medical Science, University of Tokyo. He received the BS, MS and PhD, all in Mathematics from Kyushu University, Japan. He has been working in the field of Bioinformatics. His research mission is to develop “Computational Medical Systems Biology towards Genomic Personalized Medicine”, in particular, cancer research and clinical sequence by exploiting AI. He has been involved as PI with MEXT Scientific Research on Innovative Areas “Systems Cancer Project”, “Systems Cancer in Neodimension”, the International Cancer Genome Consortium, MEXT Large-Scale Data Analysis with K computer, and Post-K Computer Project. He was awarded 2013 ISCB Fellow (The International Society for Computational Biology: and 2016 Uehara Award for cancer genomics.

Andrew Moschetti

Andrew Moschetti is a Senior Solutions Architect for bioinformatics research and Life Sciences at Google Cloud. He focuses on helping a wide range of organizations move their research workloads such as genomic data analysis and large dataset hosting to Google Cloud. By leveraging Google’s world-class computing and machine learning technologies, organizations can decrease the time and cost of research while improving security, flexibility, and scalability. Prior to Google, he led the IoT program at Medtronic Neurosurgery, and helped launch an FDA/CE cleared cloud-based surgical planning solution. He received a B.A. in Molecular, Cellular, & Developmental Biology and Japanese Language & Literature, along with a B.ENVD in Architecture from the University of Colorado Boulder.

モスケッティ安堵龍はGoogle Cloudのバイオインフォマティクス研究とライフサイエンスのシニアソリューションアーキテクト。さまざまな組織がゲノムデータ分析やデータセットホスティングなど研究ワークロードをGoogle Cloudに実行することに焦点を当てています。GoogleのワールドクラスのコンピューティングおよびMLのテクノロジを活用することで、組織はセキュリティ、柔軟性、およびスケーラビリティを向上させながら、研究の時間とコストを削減できます。Googleに入社する前は、Medtronic NeurosurgeryでIoTプログラムを主導し、FDAとCEクリアのクラウド外科手術計画ソリューションをリリースしました。コロラド大学ボルダーで、分子生物学、細胞生物学、発生生物学、日本語と日本の文学、建築学の学位を取得しています。
Siqi Liu

Siqi Liu is currently a PhD candidate in NUS Graduate School for Integrative Sciences and Engineering, as well as Saw Swee Hock School of Public Health , National University of Singapore.
She works on projects that apply machine learning approaches for healthcare data analysis. Her current interest is on reinforcement learning for clinical decision support.
Ms Liu has been the mentor and team lead for various Datathon in Singapore and Beijing in the past 2 years. Her Datathon teams received championship twice in Singapore Datathon and runner-up twice in Beijing Datathon.

Kee Yuan Ngiam

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.

Masamitsu Sanui

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.

Christina Scaduto

Christina Scaduto has years of international development and healthcare strategy experience with specialization in data analytics, visualization, and monitoring and evaluation. Previously, she was a Strategic Information and Evaluation Officer at an international NGO focusing on HIV, TB, and other global health priorities. She has experience supporting a number of countries across Asia, Latin America, and Africa, working with US government agencies, Ministries of Health, and multilateral institutions. Most recently, she was a management consultant at IQVIA (Formerly IMS Health, Quintiles) focusing on pharmaceutical research and access to medicines initiatives. She was also a Research Fellow at Deloitte’s Life Sciences and Healthcare division.
Christina grew up in the Washington, DC area and is fluent in Japanese. She holds a MPH from Harvard University and a BS in Biochemistry from the University of Washington, Seattle. 

Hidenobu Shigemitsu

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.

Shunsuke Takaki

Shunsuke Takaki is chair of the department of Intensive Care Medicine at Yokohama City University Hospital, and also head of Tele-ICU committee at the Japanese Society of Intensive Care Medicine. He trained anesthesiology, emergency medicine and intensive care in Japan and completed clinical fellow at National heart center at Malaysia and clinical research fellow at department of intensive care medicine at Sydney Prince of Wales Hospital. His research interests include Tele-medicine, bigdata analysis especially using panel data, face recognition in acute care medicine.

Shingo Tsuji

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.

Masayuki Yoshida

Masayuki Yoshida graduated from Tokyo Medical and Dental University (TMDU) School of Medicine in Tokyo and completed a residency in Internal Medicine and Cardiology at TMDU hospital. After his post-doctoral research fellowship at Department of Pathology, Harvard Medical School, he went back to TMDU School of Medicine to work as an instructor in Molecular Medicine and then promoted to an Associated Professor in Medical Biochemistry.
He then appointed as a Director of Bioethics Research Center and Chief of Medical Genetics, where novel genetic testing and counseling are provided.
His main research field includes vascular biology, atherosclerosis, and medical genetics and also devoted himself in clinical research management system in nationwide with contribution to develop new guidelines in clinical and genetic research in Japan.