TMDU-MIT-NUS-ANZICS-JSICM Critical Data Workshops and Datathon 2023
- Tomonoshin Aoki, MD MPH, currently holds the position of Deputy Director in the Health Science Department of the Ministry of Health, Labour, and Welfare (MHLW) in Japan. He is also engaged in the Japanese Government Long-Term Fellowship Program. Having recently graduated from Harvard School of Public Health this past May, he spent the summer as a visiting scholar at MIT. In the fall, he will embark on the System Design and Management Program at MIT, a multidisciplinary course that integrates technology and management for innovation.
Throughout his tenure at MHLW, he significantly influenced health insurance reform in the fiscal year Reiwa 4 (2022 in the Gregorian calendar). His efforts centered around telemedicine, physician workstyle reform, psychiatric medicine, and infertility treatment. Additionally, he played a crucial role in the first phase of Japan's response to the COVID-19 pandemic.
While studying at the Harvard School of Public Health and MIT, he delved into the intersections of policy, digital transformation, and disruptive technologies such as CRISPR. His interest focuses on understanding how these elements interact and finding ways to leverage them for the benefit of individuals and society as a whole.
- Anirban Bhattacharyya is an Intensivist at Mayo Clinic in Jacksonville, where he also serves as Vice Chair of Research and leads the acute care research consortium - the department's research wing. Alongside his medical practice, he brings a master's degree in informatics, reflecting a firm understanding of the interface between technology and medicine. Anirban has a special interest in the potential uses of Artificial Intelligence in ICU practices. He views datathons as fertile grounds for these kinds of innovations, providing the perfect environment to blend data science and critical care for the enhancement of medical practice.
- Adrien Carrel is a master’s student in Advanced Computing at Imperial College London. He received his MEng in Applied Mathematics and Computer Science at CentraleSupélec, Paris, and a BSc in Applied Mathematics at UVSQ while studying in “Classes Préparatoires” at Lycée Hoche, Versailles, in France. Adrien’s research interests include the application of novel mathematics concepts to machine learning and the use of artificial intelligence in critical domains such as healthcare.
- Rickey Carter, PhD is Professor of Biostatistics at Mayo Clinic in Florida. He received his training in biostatistics at the Medical University of South Carolina and has over 20 years of experience with study design and analysis for clinical and translational research. Administratively, he serves as a Vice Chair for the Department of the Quantitative Health Sciences and as the Scientific Director for the Digital Innovation Lab, a machine learning shared resource on Mayo’s Florida campus. Dr. Carter has research interests that span clinical trial optimization to the development of digital biomarkers using machine learning techniques. He is an active collaborator and has over 375 peer reviewed publications.
Celi, Leo Anthony
- 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.
- Dan Ebner is a Holman research track radiation oncology resident at the Mayo Clinic, with former work at Brown and Harvard Universities within the management and policy surrounding the ethical deployment of artificial intelligence in clinical care. He has previously 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 Institutes of Quantum Science and Technology in Japan.
- Mornin Feng is currently a faculty member at Saw Swee Hock School of Public Health and also the Assistant Director of Research at Institute for Data Science at NUS. He is also the Senior Assistant Director of National University Hospital, championing the big data analytics and healthcare AI initiatives. His research is to develop machine learning algorithms to extract actionable knowledge from large amount of data to enable better quality of healthcare. His research brings together concepts and tools across deep learning, optimization, signal processing, statistical causal inference and big data management. Dr. Feng’s work was recognized by both well-established journals, such as Science Translational Medicine, JAMA and top international conferences, such as KDD, AAAI and AMIA.
- Daniel Hashimoto, MD MSTR is assistant professor of surgery at the University of Pennsylvania Perelman School of Medicine and secondary faculty in the School of Engineering and Applied Science General Robotics, Automation, Sensing, and Perception Laboratory. He is the director of the Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory. His work focuses on the development of computer vision algorithms for the analysis of operative video for surgical guidance and feedback.
- Satoru Hashimoto is the president of the ICU Collaboration Network (ICON), a non-profit organization established with a mission to advance all aspects of information and communication technology in intensive care medicine.
He has been an intensivist for most of his nearly 40-year career in the hospital of Kyoto Prefectural University of Medicine. He has organized the JIPAD (Japanese Intensive Care Patients Database) project of the Japanese Society of Intensive Care Medicine and the CRoss Icu Searchable Information System (CRISIS), a registry of critically ill patients with the COVID-19 disaster. JIPAD and CRISIS play a central role in the development of databases in intensive care medicine.
- Ling Huang (https://www.researchgate.net/profile/Ling-Huang-50) is currently a Research Fellow at Saw Swee Hock School of Public Health, NUS. Her research is to develop trustworthy AI models for medical data management and analysis and provide actionable suggestions to improve healthcare quality. In particular, she has been publishing on uncertainty quantification, multi-modality information fusion, and trustworthy deep medical data analysis models on well-established journals, such as Information Fusion and International Journal of Approximate Reasoning. Dr. Huang also works closely with high-impact researchers and clinicians in France, China, USA and Austria.
- Naoki Ichihara (Nao) 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.
- Keiichi Itatani is a cardiac surgeon, and a researcher of fluid dynamics. After graduating from medical school and postgraduate course in the University of Tokyo, he is now an attending surgeon in Nagoya City University, performing both congenital and adult cardiac surgery, but his main specialty is adult congenital heart surgery, reoperations after congenital heart repair, where shortage of evidences and experiences are critical due to complex anatomy, hemodynamics and cardiac function. As a researcher of fluid dynamics, he has invented blood flow imaging tools including 4D flow MRI, echocardiography VFM, and developed cardiovascular CFD model for physiological flow and for surgical planning. founded a company named Cardio Flow Design Inc. for software and services of blood flow imaging in 2016, and his adult congenital heart surgery patients routinely undergo novel imaging diagnosis for successful reoperation. He is now investigating the role of heart vortex with mathematical approach with topology, which is a novel challenge to data science.
- Patrick Kimes is currently a statistician at Genentech/Roche where he supports the development of early phase oncology assets and personalized healthcare (PHC) solutions across the heme/onc portfolio. Prior to Genentech, Patrick was a postdoctoral fellow in the Department of Data Sciences at the Dana-Farber Cancer Institute and Harvard TH Chan School of Public Health. He completed his PhD in statistics at the University of North Carolina in 2015, specializing in statistical methods for high-throughput genomics experiments.
- Hitomi Kimura, MD, graduated from University of Tsukuba in 2018. She specializes in nephrology at the Tokyo Metropolitan Doctors Academy, actively engaging in epidemiological and healthcare policy research on Non-Communicable Diseases (NCDs) in Japan and the Asian region at University of Tsukuba Graduate School and Institute for Global Health Policy Research at the National Center for Global Health and Medicine. She received the TGSW Best Research Award in 2017 and earned the Excellent Resident Award from the Tokyo Metropolitan Doctors Academy in 2022.
- Takahiro Kinoshita, physician-scientist, Philips Research North America, is an emergency physician and AI researcher. He holds an MD degree from Osaka University and an MPH from Harvard. Dr. Kinoshita specializes in two key areas: conducting causal inference using real-world data and developing machine learning-based clinical decision support tools. He has been working on machine learning applications for advanced hemodynamic monitoring in the ICU. Additionally, he has delved into the field of causal inference of health technology.
- Kazuki Mae is the president of Japan Management Systems Inc., which provides IT consulting for small and medium enterprises. He is also a board member of AI Business Creation Association and is the chief secretary of Japanese Society for Sarcopenia, Cachexia, and Wasting Disorders. He himself is an IT consultant familiar with wide range of information technologies like IT strategy, information security, software development, and machine learning. He obtained Ph.D. in the University of Tokyo majoring in materials science, and researched computer simulations in materials science as a postdoc in Catholic University Leuven in Belgium and as a research associate in Japan Advanced Institute of Science and Technology using molecular dynamics, Monte-Carlo simulations, and the first-principles calculations. He took the current positions after experienced developing director and CTO in IT companies including public-listed one.
- João Matos is a biomedical engineer and data scientist part of the MIT Critical Data group. João received his MSc from University of Porto, after doing research in Portugal, Belgium, Japan, and Boston. João's research interests include health equity, data-centric machine learning, and data engineering.
Menser, Terri L.
- Terri Menser, PhD is a health services researcher with broad ranging research interests that include patient engagement, assessing health disparities and intervening to increase equity and access. Much of her research focuses on system improvement and implementation evaluation efforts to decrease care fragmentation and positively impact patient health outcomes and care team workload. She is currently serving as the Internal Communications Director for the Justice, Equity, Diversity, and Inclusion Special Interest Group with ACTS and is also the Treasurer for the Healthcare Management Division of Academy of Management. She was trained at Texas A&M, completed a postdoc at the Ohio State University, and conducted research at Houston Methodist hospital prior to joining the Kern Center at Mayo Clinic in August 2022.
- Yu Minegishi is an experienced healthcare systems engineer and programmer, with a focus on developing healthcare systems such as electronic medical records and medical administration systems. His specialty lies in the pharmacy and nursing sectors. A stint at a BI tool vendor ignited his interest in promoting data usage in healthcare, leading him to establish the "JDMC Engineers Group" for training data engineers under the Japan Data Management Consortium. As a senior medical information technologist, Yu provides consultancy to medical institutions and healthcare system vendors.
- Luis Nakayama is a retina specialist ophthalmologist and a Ph.D. student at Sao Paulo Federal University. Luis created the Brazilian Multilabel Ophthalmological Dataset, a database of retina fundus photos containing multiple ocular diseases. His research interests include explainability and bias reduction in algorithms, as well as artificial intelligence applications in ophthalmology.
- Toshifumi Namba, MD, is currently a senior data analyst at Cancerscan Inc. He graduated from Chiba University School of Medicine in 2017 and completed his residency program at St. Luke's International Hospital in Tokyo. He is a board-certified surgeon specializing in breast surgical oncology. His interests include preventive medicine, such as cancer screening programs, big data analysis, and machine learning.
Restrepo, Braiam Escobar
- Braiam Escobar is a biomedical engineer, data scientist, and an international member of the MIT Critical Data Group led by the Laboratory of Computational Physiology (LCP) at MIT since 2014. Previously, Braiam served as the Director of the Center of Innovation and Digital Transformation at CES University in Colombia and conducted research on continuous non-invasive blood pressure estimation at the RCBE in City University of London. With several of experience as an educator, he has taught computer science and programming courses to engineering and health-related sciences students. Currently, he is involved with a leading AI company, where he is enhancing language processing models to redefine human-machine conversations.
- Soko Setoguchi is a physician scientist, serving as a Professor of Medicine and Epidemiology at Rutgers University. She has extensive experience in healthcare research, focusing on health services and comparative effectiveness. Dr. Setoguchi's expertise also encompasses climate-related health studies, utilizing large databases to examine healthcare outcomes. In addition to her research contributions, she is actively involved in mentoring and education, overseeing the Master of Science in Clinical and Translational Science program at Rutgers and spearheading the Clinician Researcher Track in the Medicine Residency program at Robert Wood Johnson Medical School.
- Sayuri Shimizu is an Associate Professor in the Department of Health Data Science at the Graduate School of Data Science, Yokohama City University, where she teaches courses on real-world data studies and machine learning in healthcare. Her research focuses on health services research and policy using large-scale healthcare administrative data. Previously, she worked as a senior researcher at the Institute for Health Economics and Policy. She is a member of the Ministry of Health, Labour and Welfare's Study Group on a New Regional Medical care Vision and is a specialist for the Promotion of Health Data Utilization in Yokohama City.
- Koshiro Tagawa is a skilled biostatistician who graduated from the University of Tokyo with a degree in Biostatistics and Bioinformatics. Currently, he contributes his expertise at the Center for Clinical and Translational Research of Kyushu University Hospital. He primarily focuses on supporting investigator-initiated clinical trials and statistical consulting including basic and observational research. This involves tasks such as estimating sample sizes, designing comprehensive plans, and conducting thorough statistical analyses.
- Takeshi Tohyama is an assistant professor at the Center for Advanced Medical Open Innovation at Kyushu University. He specializes in cardiology and data science. After graduating from Kyushu University Graduate School of Medical Sciences, he honed his skills in statistics, machine learning, and deep learning at the Center for Clinical and Translational Research of Kyushu University Hospital. There, he assists numerous researchers and conducts his own research in machine learning and deep learning. He is also responsible for managing and analyzing large heart failure registries and is proficient in handling large datasets such as DPC.
- Shingo Tsuji, Ph.D. has got a lot of experience in the wide range of data science fields including bioinformatics, energy data analysis and education. He loves Python and publishes many books so far, and he is interested in applied data science which is a cross disciplinary domain to apply the basic data science skills to various practical issues. Project associate professor at the University of Tokyo, Japan.
- Ryo Uchimido, Assistant Professor in the Intensive Care Medicine, Department at Tokyo Medical and Dental University Hospital, earned his M.D. from Toyama University and his MPH from Harvard T.H. Chan School of Public Health after certification in emergency medicine at Tokyo Bay Medical Center. His current research focuses on transcriptomics and metabolomics in sepsis, aiming to identify treatment biomarkers and speed up sepsis drug discovery, with the goal of enhancing survival rates and patient outcomes.
- @Institute of Education Innovative Human Resource Development Division
- @Institute of Education Innovative Human Resource Division
- @Department of Intensive Care Medicine
- @Department of Intensive Care Medicine
- @Department of Medical Informatics
- @Institute of Education Innovative Human Resource Development Division