Nan Liu, PhD, FAMIA in

Nan Liu, PhD, FAMIA

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Co-Director at SingHealth Duke-NUS Artificial Intelligence in Medicine Institute (AIMI)
📍 Singapore

Nan Liu is a researcher, innovator, and entrepreneur, serving as Director of the Duke-NUS AI + Medical Sciences Initiative. His work focuses on trustworthy and ethical AI, interpretable machine learning, and health data science. He earned his PhD from Nanyang Technological University Singapore.

Beyond his extensive work in AI and medicine, Nan is a dedicated watercolor artist. He is an elected member of the Singapore Watercolor Society and actively participates in international and regional art events, showcasing a unique blend of scientific and artistic talent.

Two of his paintings were presented as gifts to Nobel laureates Dr. John Robin Warren and Sir Richard John Roberts.

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Current Role
Co-Director
Job Level
Mid-senior
Location
Singapore
Personality Overview

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Communication Style
Decision Approach
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Priorities

Topics Nan cares about

Ethical & Responsible AI
His research, publications, and panel discussions consistently focus on trustworthy AI, accountability in human-AI collaboration, and building public trust in AI governance.
AI in Medicine
He leads multiple AI in medicine initiatives at Duke-NUS and SingHealth, with research focusing on health informatics, machine learning, and enhancing patient outcomes.
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Career

Work history

Co-Director
SingHealth Duke-NUS Artificial Intelligence in Medicine Institute (AIMI)
Adjunct Associate Professor, Department of Biostatistics & Bioinformatics
Duke University
Associate Professor, Duke Graduate School
Duke University
Director, Duke-NUS AI + Medical Sciences Initiative (DAISI)
Duke-NUS Medical School
Associate Professor
Duke-NUS Medical School
In the press

Media appearances

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Education
2002 - 2008
Doctor of Philosophy (PhD)
Nanyang Technological University Singapore
1998 - 2002
Bachelor of Engineering
University of Science and Technology Beijing
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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