Global Speakers

Topic: Artificial Intelligence (AI) Based HealthTech: Are We There Yet?

Dr. Adam CHEE currently serves as Chief, Smart Health Leadership Centre at the Institute of System 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 Health Informatics and Digital Health as an enabler in addressing the challenges of new and existing models of health(care) across Asia Pacific and Middle East.

Panel: Who Is Responsible For AI Misdiagnosis? Regulatory Perspectives On AI

Dr Wai obtained her primary medical degree from Trinity College Dublin, Ireland, and subsequently obtained an MBA specializing in Health Services Management from University College Dublin. She is a proven Medical Business Leader with over 20 years of expertise in clinical practice and the pharmaceutical & Medtech industry.

While in clinical practice she worked in both the public and private settings. She subsequently moved to a career in research and development to be able to contribute to getting effective and safe therapies and technologies to patients. During her time at Quintiles (now IQVIA), she worked on a number of pharmaceutical products from large cardiovascular blockbusters to niche solid tumor oncology therapies. Her experience spans all phases of drug development (phase I-IV), real-world evidence, and all stages of medical device studies. She personally contributed to more than 80 studies.

Utilizing her considerable medical knowledge and business expertise she has extended her reach to assist deep tech healthcare startups to navigate the complex healthcare ecosystem and bring innovative technologies to the patient.

Topic: Use Of AI To Personalize Cancer Care At Icon Group

Experienced Healthcare leader with a focus on inspiring and empowering teams to be their best. Driving Icon Group’s growth having delivered expansion across Australia, New Zealand, Singapore, Vietnam, Hong Kong and, in a significant personal and professional milestone, into China. Passionate about making a difference to healthcare and working with likeminded individuals to bring about improved access and outcomes, Mark is a pioneer in regional cancer care and is now taking that experience globally. He founded Radiation Oncology Queensland (ROQ), was a State Finalist for the Australian Institute of Management [AIM] Queensland Manager of the Year in 2014 and regional winner of the AIM Excellence Award 2015. In 2019 Mark was appointed as a Director of the Union of International Cancer Control’s (UICC) City Cancer Challenge – an initiative implemented to bring world class cancer care to LMICs.

He has a Master of Business Administration from Deakin University, is a Fellow of both the AIM and the Australian Institute of Radiography [AIR] and is a frequently invited international key note speaker.

Topic: AI For Clinical Decision Support

Sandeep is an Artificial Intelligence (AI) in Healthcare researcher based at the Deakin School of Medicine besides being the founder/chairman of Medi-AI, a globally focused AI company. He also functions as a certified health informatician and is a World Health Organisation recognised digital health expert.

He has a medical and healthcare management background and has completed machine learning/ health informatics training from various sources. He is currently engaged in research about the safety, quality and explainability of the application of AI in healthcare delivery in addition to developing AI models to treat and manage chronic diseases. Also, he has authored several articles and books about the use of AI in Medicine. Further, he has set up local and international forums to promote the use of AI in Healthcare in addition to sitting on various international committees focusing on AI in Healthcare.

Topic: How Award Winning, AI-Backed Solutions Help Reduce Avoidable Variation, Harm And Mortality

Richard was a COGX keynote speaker on the Global Leadership stage and won (with C2 Ai) two awards including the prestigious Tech4Covid award. The company is one of 10 Essential Digital Health Ideas for a UK National Covid Response according to Healthcare UK.

With over 30 years in advanced technology, Richard has extensive experience as an entrepreneur, in strategy development, business planning/modelling, and creating commercial implementations for companies. He has co-founded businesses across four continents that have delivered up to 300x returns on first round.

He is the only private sector member of a national regulator’s synthetic AI patient record and medical AI software validation project. He is also the AI lead for Patient Safety Learning.
In addition to his work at C2-Ai, he holds positions in other Ai-based and telecoms businesses. He is the author of three business books translated into multiple languages. Richard received an MBA with distinction from the Warwick Business School.

Topic: AI And Big Data Technologies For Disease Control In Thailand

Siripat has been working as a project manager for over three years at Thailand Center of Excellence for Life Sciences or TCELS, a public organization promoting life science and medical and healthcare technology industry in Thailand.

TCELS’s focus areas are biopharmaceutical, cell and gene therapy, natural products and cosmeceutical and medical device and medical robotics. TCELS has recently established Medicopolis and Health Informatics Program to support projects applying digital technologies in the health domain.

Topic: Overview Of AI In Healthcare

Topic: An AI Assistant To Enhance Breast Cancer Screening

Topic: How AI And Robotics Will Transform The Future Surgical Operations

Dr Aung Myint Oo @ Ye Jian Guo is a Consultant Surgeon in the Department of General Surgery and a Deputy Chief Medical Information Officer in Tan Tock Seng Hospital, Singapore.

He is also a senior clinical lecturer at the Yong Loo Lin School of Medicine, National University of Singapore, and a clinical teacher at the Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore.

Dr Aung completed his basic and advanced surgical training in Singapore. He was awarded the Health Manpower Development Plan (HMDP) scholarship to undergo his fellowship training in advance minimally invasive upper gastrointestinal surgery at Seoul National University Bundang Hospital, Korea. He is a member of international societies for endo-laparoscopic surgeons and bariatric surgeons. He is currently the scientific chairman of the Obesity and Metabolic Surgery Society of Singapore (OMSSS), and vice-chairman of Chapter of General Surgeons, College of Surgeons, Academy of Medicine Singapore. He also sits on the executive committee of SingSPEN (Society of Parenteral and Enteral Nutrition, Singapore).

Dr Aung is actively involved in both clinical research and teaching. He was awarded Ministry of Health Healthcare Research Scholarship in 2013 to pursue a Master of Clinical Investigation (MCI) at National University of Singapore, and he was conferred MCI in 2016. He is currently an instructor of Advanced Cardiac Life Support (ACLS) and Advanced Trauma Life Support (ATLS) courses. He is a core faculty/ faculty of the Surgical Residency programmes in Singapore. He is also an e-tutor of MSc in Surgical Science, Edinburgh Surgical Science Qualifications, UK and a Visiting Lecturer to the Department of Thoracic Surgery, University of Medicine 1, Yangon in Myanmar.

Topic: Building A AI-Enabled Medical Imaging Platform For The Nation, And Synthetic Medical Imaging For Healthcare

Dr Charlene Liew, FRCR, is a consultant radiologist at Changi General Hospital and Director of Cardiothoracic Imaging at the Department of Diagnostic Radiology, Changi General Hospital.

She underwent internship and residency training at Changi General Hospital, Singapore General Hospital, KK Women and Children’s Hospital, National Neuroscience Institute and the National Cancer Center from 2007-2014. After being conferred the Fellowship of the Royal College of Radiologists, United Kingdom in 2012, she continued her fellowship training in cardiothoracic radiology at the Beth Israel Deaconess Medical Center, Boston and the Brigham and Women’s Hospital, Boston and was a Harvard Medical School research fellow.

She has received awards in education (ASEAN Congress of Radiology 2011, American Roentgen Ray Society, 2015) innovation, as well as research, and was awarded Best Young Presenter at the Asian Society of Cardiovascular Imaging meeting in 2016 for translational research into high-resolution late gadolinium enhancement MRI with a machine learning technique.

Topic:  AI And Big Data For The Future Of Health

Dr. Matthew Chua is currently a lecturer and principal investigator at the NUS Institute of System Science where he specializes in Medical & Cybernetics Systems. He is overseeing the research program in Smart Healthcare, Artificial Intelligence, and Advanced Robotics. He has won prestigious research grants, amounting to more than S$1 million, from the Ministry of Health, SG Enable and internationally. His wide array of expertise makes him a highly sought after collaborator from various industries. He is currently the Associate Editor for IEEE Access journals, the appointed Residential Fellow for Kent Ridge Hall, NUS, and an honorary joint faculty with NUS Saw Swee Hock School of Public Health. He is also a ScrumMaster with Scrum Alliance and a certified Project Management Professional (PMP) with PMI.

On the side, Dr. Chua is a professional opera singer, being sought after for many local events and celebrations, including The SG50 Concert at the Park,  Lee Kuan Yew Memorial Concert, TTSH Gala dinner, and many others. He was also the 2nd place winner for The Rising  Star Season 3 Competition 2019.

Topic: Using AI In Garnering Insights From Clinical Notes For Detecting Adverse Medication Events (Co-Presenting With Han Leong Goh)

Topic: Do I Need To Go To The A&E? How Chatbots Empower Patients To Make The Right Decision

Dr Tan Yan Yuan graduated with a Bachelor of Medicine and Bachelor of Surgery (MBBS) from the National University of Singapore (NUS) in 2012.

Upon graduation, he has acquired a broad-based experience in Primary Care, Emergency Medicine, Dermatology, Oncology, Occupational Health as well as Aesthetics. He has worked in leading tertiary medical institutions such as Singapore General Hospital, National Cancer Centre Singapore and National Skin Centre.

Dr Tan continued his academic pursuit after graduation and obtained his Graduate Diploma in Family Medicine from NUS in 2015. In the same year, he graduated with a Distinction in Graduate Diploma in Practical Dermatology from Cardiff University, United Kingdom. He is also a Member of the American Academy of Aesthetic Medicine and is currently engaged in his Diploma in Occupational Medicine.

He is a strong believer in providing quality medical care, outstanding service as well as bringing convenience to his patients by leveraging technological advancements.

Panel: Who Is Responsible For AI Misdiagnosis? Regulatory Perspectives On AI

Dr. Francis Chin is a radiation oncologist with over 20 years of experience in both medical and radiation oncology. His expertise spans across a range of cancers such as gastrointestinal cancer, soft tissue sarcoma with special interest in gynecological conditions and pediatrics.

Prior to private practice, Dr. Chin spent over two decades at the National Cancer Center in Singapore. Since 2014, he has been a visiting consultant at KK Women’s and Children’s Hospital. He is also on the steering committee for the VIVA-KKH Paediatric Brain and Solid Tumour Programme.

As an ASEAN and Chevening scholar, Dr. Chin was awarded numerous scholarships from the Singapore and United Kingdom (U.K.) government. One of his greatest highlights was the sponsorship of his Master of Science in Radiation Biology by the European Union, which he completed with distinction. Dr. Chin was the first student from Asia to attend the prestigious course set up to groom experts in radiation biology and radiation oncology.

Dr. Chin is passionate about the continual improvement of radiation oncology and has led several Quality Assurance Improvement projects teams such as the radiation proton development management team. He also holds various academic appointments as Adjunct Assistant Professor at SingHealth DUKE-NUS Medical School’s Oncology Academic Clinical Program (ACP) and Pediatrics ACP since 2015.

He is an editorial board member of the Royal College of Radiologist in U.K. with a published chapter on radiation poisoning in the Oxford Textbook of Critical Care (Second Edition).

Dr. Chin strongly believes in the continued development of radiation oncology techniques and technology as they are essential in helping cancer patients in Singapore and the world.

Topic: Using AI In Garnering Insights From Clinical Notes For Detecting Adverse Medication Events (Co-Presenting With Dr. Sreemanee Raaj Dorajoo)

As Principal Specialist (Deputy Director, Health Insights) for Integrated Health Information System (IHiS), Dr Goh Han Leong is working with government agency, acute hospital, and tertiary institution in Singapore to implement innovative approaches around managing and improving healthcare services through data analytics.

Prior to his current role, Han Leong is a project manager and data scientist in SingTel, living analytics R&D lab. In this role, he was responsible for delivering insights to client’s project leveraging on big data analysis using Telco’s data. Before joining SingTel, Han Leong spent the first half of his career in Land Transport Authority (LTA), most recent as Senior Manager (Mobility) and is responsible for providing technology leadership and strategic oversight for mobility solutions for Land Transport.

Han Leong received his Doctorate and Bachelor degree in Engineering from National University of Singapore.

Topic: Improving Clinical Trial Initiation, Screening And Enrolment With AI

Dr Huren Sivaraj is a Medical Oncologist and physician-entrepreneur. He is the CEO and Co-founder of Oncoshot – a Cancer Clinical Trial Matching Tool and Collaborative Platform for Oncologists.

As an Oncologist, Dr Huren cares for patients with a broad range of solid tumour diagnoses and was a Principal Investigator in an effort utilising Next Generation Sequencing to study genomic profiles of patients with Breast Cancer in Singapore.

Dr Huren’s understanding of challenges faced by physicians in clinical trial search, alongside his interest in the application of  Machine Learning, led to the development of Oncoshot’s unique clinical

trial matching tool in May 2019. This eligibility-weighted tool is used by Oncologists within Asia today. Oncoshot’s work has now evolved to solve high impact problems within the Asian clinical trial ecosystems by addressing the unique needs of multiple stakeholders such as cancer care providers, regulatory bodies and industry.

Topic: Precision Medicine And Personalized Treatment Using AI To Identify Therapeutic Options In Blood Cancer

Dr Scolnick completed his PhD at UC Berkeley and Post doctoral work at the Salk Institute before joining the Molecular Engineering Lab of Dr Sydney Brenner at A*STAR in 2009.  Following his time at A*STAR, Dr Scolnick returned to the US where he developed multiple genetic diagnostic tests at Natera as well as a line of Target Enrichment products for Nugen Technologies.  In 2015, he returned to Singapore, joining the Department of Physiology at NUS to continue developing new assays in the single cell space. Jonathan has recently co-founded Proteona Precision Medicine to help bring single cell biology into the clinic.

Topic: AI And Data Science In Health Services Delivery

Dr. Sean Lam heads the Data Science practice in Health Services Research within the SingHealth Duke-NUS Academic Medical Centre.  He leads a team of data scientists and implementation experts for the enhancement of patient care and health services delivery. Sean is an Assistant Professor with the Duke-NUS Medical School, National University of Singapore and an Adjunct Faculty with the Singapore Management University.

Panel: Who Is Responsible For AI Misdiagnosis? Regulatory Perspectives On AI

Adj Asst/Prof (Dr) Lim Hong Shen is a Practicing Family Physician and the Medical Director for A Medical Clinic Private Limited. In his current role as the Director for Medical Innovation and Data Science at iAPPS Private Limited and HeartVoice Private Limited (a joint venture between iAPPS and Omron HQ), he leads the product development and innovation. He has had experience in public healthcare informatics. He holds a concurrent adjunct role as an Assistant Professor at the Yong Loo Lin School of Medicine Division of Medicine and department of Family Medicine. He lectures at both the School of Medicine and School of Computing and is part of the curriculum planning team for the Healthcare Informatics Track offered to medical students. He is a firm advocate for giving back and founded the Lim Lian Hock Medical Bursary at NUS to support Medical Students Financially for their school fees.

Topic: Best Practices On AI In Rehabilitation Care

Dr. Loh Yong Joo is currently a consultant and deputy head of department in TTSH Department of Rehabilitation Medicine and a senior clinical lecturer at Yong Loo Lin School of Medicine. His clinical sub-specialty is in neurorehabilitation managing patients with stroke, traumatic brain injury and other neurological conditions. His research interests are in rehabilitation technologies especially in the areas of virtual reality, wearable sensors, telehealth, serious gaming, robotics and AI/deep learning in rehabilitation.  He is currently also the Deputy Clinical Director for Rehabilitation Research Institute of Singapore (RRIS), Director of Clinical Innovations in TTSH, Associate Clinical Director for Centre for Healthcare Innovation and a member of TTSH Clinical Research Committee and NHG Centre for Medical Technology Innovations.

Keynote: Using Data Science And AI To Improve Management Of Chronic Diseases And Mental Health In Singapore

Robert is Chief Technology Strategist at MOHT, and holds a concurrent appointment as Professor, Yong Loo Lin School of Medicine, National University of Singapore.

At MOHT, Robert anchors the Data and Technology Enablers. His current focus is on the application of computer and information sciences, including AI, to transform healthcare.

Until 2017, Robert led all of IBM Research’s Global Laboratories. Prior to that, Robert was also head of the IBM Almaden Research Center (Silicon Valley), where relational database technology and the disk drive were invented. During this time he led the creation of Services Science, research for IBM’s ThinkPad, and Storage Systems. Earlier he also led advanced systems research at TJ Watson Center (New York), including the Deep Blue chess machine, which defeated world champion Garry Kasparov in 1997.

He completed his PhD in Computer Science at the University of California, Los Angeles.

Panel: Who Is Responsible For AI Misdiagnosis? Regulatory Perspectives On AI

Cher Heng Tan, MBBS, FRCR, MBA, leads Clinical Research & Innovation at TTSH, one of the leading hospitals in Singapore. In his concurrent appointments as Co-Director, NHG Centre for Medical Technologies and Innovation and Deputy Clinical Director, Centre for Healthcare Innovation, he champions the development and deployment of technology in healthcare. A radiologist by training, his research interests lie in oncologic imaging and abdominal MRI.

Panel: Who Is Responsible For AI Misdiagnosis? Regulatory Perspectives On AI

Varun Veigas is the Regional Manager, Regulatory Affairs & Policy, Asia Pacific, Roche Diagnostics. Based in Singapore, he has a passion for Digital Health with extensive experience in Medical Devices, In-Vitro Diagnostics, Pharmaceuticals, Biologicals and Vaccines.

His role encompasses incorporating an in-depth understanding of regulatory policy strategy development, therapeutic scientific knowledge, digital innovations, market needs and stakeholder insights to advocate for regulatory policy initiatives especially in areas related to SaMD, Clinical Decision Support, and SaMD systems based on Artificial Intelligence / Machine Learning. Varun interfaces with Government Institutions, Regulatory Bodies, Industry Associations, and other key stakeholders for Roche Diagnostics in the Asia Pacific region.