Schedule and Mentors

 

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.

is the global Chief Medical Officer (CMO) for Elsevier, an information analytics business within the UK-based, FTSE-listed RELX group. Dr. Chuang’s focus at Elsevier is collaborating with healthcare leaders to improve Healthcare Information Technology (HCIT) adoption, especially as it relates to clinical decision support and improving health system decisions and processes of care to improve outcomes. 

Dr. Chuang’s experience spans the entire care continuum, including applied healthcare informatics, controlled medical terminology, knowledge representation, clinical decision support (CDS) and analytics. Prior to joining Elsevier, he has led roles at both strategic level management of healthcare systems and physician leadership, and hands-on implementation of process optimization at the point-of-care.  His insights cover the full spectrum of delivering knowledge-driven care, whether it is capturing and structuring data, analytics and predictive modeling, or CDS functionalities intersecting with clinical workflow.

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.

was the Director of the Computer Engineering (CPEG) Program from 2014 to 2016 and was the Associate Director of the Computer Engineering (CPEG) Program from 2012 to 2014. He received the BSc, MPhil and PhD degrees in Computer Science and Engineering in the Chinese University of Hong Kong (CUHK) in 2002, 2004 and 2008, respectively. In 2004-2005, he worked as a research and development assistant under an R&D project funded by ITF and a local industrial company called Lifewood.

From May 2006 to Aug 2006, he was a visiting student of Prof. Jian Pei and Prof. Ke Wang, at Simon Fraser University in Canada. From Aug 2007 to Sept 2007, he visited IBM T.J. Watson Research Center as a summer intern under the supervision of Prof. Philip S. Yu. From Jun 2008 to Jul 2008, he visited Prof. Tamer Ozsu at University of Waterloo as a visiting scholar. Some of his collaborators are Prof. Ada Fu (2003-2013), Prof. Ke Wang (2003-2013), Prof. Philip S. Yu (2009-2013), Prof. Jian Pei (2006-2011), Prof. Tamer Ozsu (2009-2011), Prof. Jiuyong Li (2006-2011), Prof. Yufei Tao (2007-2009), Prof. Ihab Ilyas (2009), Prof. Jeffrey Yu (2009), Prof. Lei Chen (2008) and Prof. Eamonn Keogh (2008).

was a research scientist in Yahoo Research. He got his PhD from Arizona State University in 2015 under Dr. Huan Liu and MS and BE from Beijing Institute of Technology in 2010 and 2008, respectively. His research interests include social computing, data mining and machine learning and their applications in education. He was the recipient of 2021 IEEE Big Data Security Junior Research Award, 2020 ACM SIGKDD Rising Star Award, 2020 Distinguished Withrow Research Award, 2019 NSF Career Award, and 7 best paper awards (or runner-ups) including WSDM2018 and KDD2016. His dissertation won the 2015 KDD Best Dissertation runner up and Dean's Dissertation Award. He serves as conference organizers (e.g., KDD, SIGIR, WSDM and SDM) and journal editors (e.g., TKDD and ACM Books). He has published his research in highly ranked journals and top conference proceedings, which have received tens of thousands of citations with h-index 65 (Google Scholar) and extensive media coverages..

is a postdoctoral research fellow at Harvard Medical School and Massachusetts General Hospital. She received her PhD in Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), studying machine learning methods in intensive care units for clinical decision support. Prior to HKUST, she completed undergraduate and master's degrees at Korea University (Korea) and University College London (UK). She also worked as a senior data scientist at Deloitte and LG. She specializes in applying artificial intelligence (AI) to data from the medical and dental fields. She is interested in developing innovative AI health systems for early identification and new phenotypic discovery, as well as viable algorithm-based devices to solve the world's most challenging problems.

is a Visiting Ph.D. student in the Laboratory of Computational Physiology (LCP) at MIT from Beihang University and Chinese PLA General Hospital. She has participated in 10 datathon events in the US, China, and Singapore. Her research focuses on the development of robust, interpretable disease prediction and treatment management models based on Electronic Health Records. She wishes to provide doctors with intelligent and convenient decision support tools.

is the Director of Singapore Health Service (SingHealth) AI Program, Head of AI and Digital Innovation in Singapore Eye Research Institute (SERI), A/Professor in Ophthalmology with Duke-NUS Medical School Singapore. 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.

currently serves as Chief, Smart Health Leadership Centre at the Institute of Systems Science (ISS), National University of Singapore (NUS).

A convergence scientist familiar with Health(& Care), Informatics, Innovation, Technologies and (equally important,) the Business aspects of the ecosystem, Adam serves as a coach & conduit between various key opinion leaders & stakeholders while engaging at the operational, strategic and governmental levels as well as developing commercial relationships with global firms and local start-ups in the utilization of Data, Technology & Design as enablers for transformation, addressing the challenges of new and existing models of health(care) across Asia Pacific and Middle East.

is an Associate Professor at Centre for Quantitative Medicine and Programme in Health Services and Systems Research, Duke-NUS Medicine School. His research focuses on health services research, emergency and prehospital care, cardiology, medical informatics, and health innovation. Dr Liu has been awarded research grants from National Medical Research Council, National Health Innovation Centre, and SingHealth Foundation. He received many international and national awards, including Meritorious Paper Award from Computers in Biology and Medicine journal, Best Abstract Award from European Emergency Medical Services Congress, Grand Prize from Singapore Tech-Factor Challenge, and Paul Dudley White International Scholar Award from American Heart Association. Dr Liu is serving as an Academic Editor for four international peer-reviewed journals, including Computers in Biology and Medicine (Elsevier), Medicine (Lippincott Williams & Wilkins), PLOS ONE, and IEEE Access. He is also a regular reviewer for more than 60 international journals. Dr Liu is currently the Chairman of IEEE Engineering in Medicine and Biology Society (EMBS) Singapore Chapter.

is a postdoctoral researcher in the fields of computer vision and machine learning, with an emphasis on their application to medical imaging. My current work at SingHealth carries on from my time at iLab, and involves the characterization and diagnosis of diseases such as diabetic retinopathy and glaucoma through the analysis of retinal fundus photographs and related modalities, which has resulted in the Singapore Eye Lesion Analyzer system endorsed as a key component within the healthcare project sector of the National AI Strategy (NAIS) plan.