SG HEALTHCARE AI
DATATHON & EXPO
Schedule and Mentors
Cultivate cross-disciplinary collaborations
3-5 Dec 2021
Over SGD 20,000 Total Cash Prizes for Top Teams
International Mentors & Judges
is a Gordon McKay 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 a clinician with expertise in product innovation bridging product management, real-world evidence, epidemiology and design of clinical decision support tools currently leading development of an active surveillance system for medical device safety at NESTcc. Over 15 years of experience in research and product development of telemedicine-based solutions to support population management of patients across the spectrum of care. Research expertise in large clinical databases and secondary use of electronic medical record data for comparative effectiveness research and development of predictive models and clinical decision support tools. Product Management experience engaging with customers and key stakeholders to develop product roadmap and bring ideas to market using Agile, Scrum and Waterfall software development and research processes. Peer reviewer for numerous journals such as: Critical Care Medicine, Journal of the American Medical Informatics Association, Big Data, Critical Care, and Nature Biomedical Engineering.
obtained the Hong Kong PhD Fellowship in 2013 and received the PhD degree from The Chinese University of Hong Kong (CUHK) in 2017. He was a postdoctoral research fellow in CUHK and a visiting scholar in Utrecht University Medical Center previously. He also has rich industrial research experience such as Siemens and holds a dozen of patents.
His research interests include medical image analysis, artificial intelligence, machine learning and computer vision. He received several premium awards including Best Paper Award in MIAR 2016, CUHK Faculty Outstanding Thesis Award in 2017, MIA-Elsevier Best Paper Award in 2017, MICCAI Young Scientist Publication Impact Award in 2019. During the past few years, the team he led has won 15+ grand challenges, such as RSNA Challenge on Pneumonia Screening, etc.
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..
a research scientist at the Massachusetts Institute of Technology working on data analysis in critical care. This includes retrospective observational studies to generate new knowledge, predictive modeling using machine learning to prognosticate outcome, and curation of data to support the research enterprise. You can check out some of my work below, and if you’re interested in collaboration or just want to chat, feel free to get in touch!
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.
a researcher in the Laboratory for Computational Physiology at MIT, with a particular interest in improving the way that clinical data is shared and reused for the benefit of patients. Previously I was a PhD student at University College London, where I carried out an interdisciplinary project between the Mullard Space Science Laboratory and University College Hospital, exploring how models of 'normal' health can be used to track the physiological status of critical care patients.
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.
Singapore Mentors & Judges
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 both an academic researcher and an industry practitioner. He is currently a Visiting Associate Professor at the School of Computing, National University of Singapore.
He has rich multi-industry expeirence in Healthcare, Manufacturing, Supply Chain/Logistics, Retail, and Government sectors, and have been working in analytics & optionzation areas in the last 15 years. Prior to the current role, he was the Client Technical Advisor (Chief Architect, Analytics and Optimization) at IBM Government and Healthcare Center of Competency, and led the IBM technical solution design in ASEAN Public Sector. Before that, he was a Senior Manager at IBM R&D Labs in charge of analytics and optimization product development. Before joining IBM, he was a Research Scientist at Motorola Labs and focused on development and implementation of Operations Research models and methods to solve problems in supply chains and manufacturing systems.
is a Senior Consultant Anaesthesiologist and the Clinical Director of Perioperative Services, Division of Anaesthesiology and Perioperative Medicine in SGH. After completing his Advanced Specialist Training in Singapore, he underwent fellowship training in the subspecialty area of Perioperative Medicine at the University of Toronto, Canada, followed by a MSc in the same area from University College London, UK. He is currently pursuing a PhD at Duke-NUS Medical School Singapore, on the utilisation of Data Science in Healthcare, a topic that he deeply believes in.
As a perioperative clinician, he is passionate about improving outcomes of patients undergoing surgery. He led the team which revamped the perioperative processes in SGH. This resulted in the creation of the Preoperative Assessment Centre, a one-stop multidisciplinary centre to assess, counsel and optimise patients prior to elective surgeries and introduced multiple new approaches for mitigating the risks of surgery.
Since 2020, Assoc Prof Hairil is also the Institutional Value Lead for SGH. He is tasked with guiding a cross-functional and multidisciplinary team in scaling up and operationalising value-driven care initiatives across all clinical specialties in the hospital.
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.