Half Day Hackathon
The in-person Half Day Hackathon is an opportunity for healthcare professionals, students and data scientists to come together to brainstorm, ideate, and design innovative solutions, with the aim of tackling challenges related to healthcare.
Participants will form teams, exchange insights and use technology to create solutions. The teams will then present their ideas to a panel of judges with expertise in a variety of related fields.
The objectives of the hackathon are to:
Through this hackathon, we hope to showcase the ubiquity and usefulness of data to obtain insights. Most importantly, we hope the participants will forge new connections, take away some useful skills and have fun!
Guidelines and Regulations
Value and Usability
Dr. Adam CHEE
Chief, Smart Health Leadership Centre, ISS, NUS
has more than 20 years of health informatics, digital health, innovation, technologies and business experience. Prior to joining ISS, he was the Director of BNHC Pte Ltd spearheading many significant and notable projects across Asia Pacific and Middle East. He is responsible for providing digital health transformation expertise to both health(care) and solution providers via consulting assignments, executive coaching, training, leadership and speaking engagements. He led a few international projects including digital health transformation for Saudi Health Council, Kingdom of Saudi Arabia, tele-health solution for LifeWatch AG, Switzerland and Health Information Exchange system framework for Integrated Health Information System (IHiS) Singapore etc.
AI & IoT Practice Leader
leads the AI and IoT Practice for HPE. He is primarily a Technologist who is passionate about creating, finding Machine learning and AI solutions which will move humanity and the environment forward. He has contributed to the design and implementation of smart city projects, and has established intelligent public transportation and traffic ecosystems in India, Singapore, and the U.S. He has over 22 years of solutioning experience and is a distinguished inventor with 25 patents in AI and ML technologies. He envisions a radically safer, healthier and more sustainable planet with the democratization of AI, Industry 5.0 and 5G technologies.
Dr Mikael HARTMAN
Programme Leader (Breast Cancer Prevention)
has been practising in Singapore since 2009 and is originally from Stockholm, Sweden where he received his training at Karolinska Institute. That is also where he received his board certification in General Surgery in 2005. Having completed his doctoral studies in the field of epidemiology in 2007, he specializes in the field of breast cancer etiology and prognostication as well as inheritance of cancer prognosis.
He heads a research group of more than ten members and is leading the development of the Singapore Breast Cancer Cohort, the Singapore-Malaysia Breast Cancer Working Group and the Breast Cancer Prevention Programme at the Saw Swee Hock School of Public Health (SSHSPH).
He is a father of 3 children with keen interest in skiing, hiking and mountain biking. In 2014, he made an effort to create awareness for breast cancer and research by riding a motorcycle from Singapore to Sweden. As a result of this movement, he initiated the Asian Breast Cancer Research Fund to support breast cancer related research across Asia.
Director, ASEAN at SAS
leads the Industrial AIoT Solutions Practice for ASEAN at SAS, developing go-to-market strategies and providing leadership guidance on AIoT solutions for industries across manufacturing, utilities, smart cities and others. With over 14 years of experience driving analytics-led innovation, Suraj has enabled companies and customers to improve process control, increase yield, reduce waste, optimize pricing and product mix and develop successful business strategy.
Lim Ai Huey
Director, ASEAN at SAS
is a Manager/Senior Lecturer at Nanyang Polytechnic. Her teaching duties focus primarily on business intelligence and analytics. She has over 5 years of experience in conducting training in the area of analytics and currently handles customized data analytics trainings for companies. She is both an educator as well as developer with years of experiences specializing in database, web development, search engine optimization, data visualization and text analytics. Ai Huey is the course manager of the Specialist Diploma in Business & Big Data Analytics and serves as the EXCO member of the Singapore Computer Society Business Analytics Chapter. She has BSc in Computer Science from University of News South Wales, Australia and a Specialist Diploma in Teaching & Learning (Higher Education) from NIE and NYP. Her research interest is text mining and its application in analysing the course feedback.