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Matthew Chua
BEng, PhD, CSM, PMP

Bio

A/Prof. Matthew Chua is the winner of the prestigious Global Excellence Award 2024 (SMART Society, USA), as a distinguished leader in the field of AI and technological innovation in healthcare internationally. He is currently the Deputy Director of the Digital and Smart Health Office, Ng Teng Fong Centre for Healthcare Innovation, National Healthcare Group, to drive impact-driven Digital and AI transformation for the entire healthcare cluster. Matt is also currently an Associate Professor of Biomedical Informatics at NUS School of Medicine. He has also won data science competitions at the national level, clinching 3rd place for the Data VIZard at the Data Arcade Tournament 2022. He has also won the prestigious MINDEF Exemplary Innovator Award for two consecutive years in 2023 and 2024. At NUS, Matt drives the research and lectures on AI and Tech for the advancement of Medicine Health. He has won prestigious research grants, amounting to more than S$8 million, from Ministry of Health, SG Enable, and internationally. He has also published more than 45 papers in prestigious peer-reviewed international journals, many of which are in Q1 tier journals, and is widely cited. He is also the Editor for PLOS One Journal.

 

On the side, Matt 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.

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Education

2020 - Certified Specialist Adult Educator (Institute of Adult Learning) 

2019 - Certified Project Management Professional (Project Management Institute)

2018 - Certified Scrum Master (Scrum Alliance)

2015 - Doctor of Philosophy (National University of Singapore)

2014 - Graduate Certificate in Management of Technology (National University of Singapore)

2012 - Bachelor of Mechanical Engineering with Honors (National University of Singapore)

Research Interest

Artificial Intelligence, Data Science, Medical Systems, Medical Informatics, Robotics Systems

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