Summary
Duane Loh is an interdisciplinary physicist and program director who builds algorithms to image and quantify nanoscale dynamics, currently leading the AI for Science MSc at the National University of Singapore. With 14 years of experience across academia and national labs, he has developed robust computational imaging methods for x‑ray and electron experiments, from free‑electron laser datasets at SLAC to structural biology and aerosol studies. He rose through faculty ranks at NUS after a Lee Kuan Yew postdoctoral fellowship and a PhD in computational physics from Cornell, combining theory, inverse problems, and machine learning to extract signal from noisy, incomplete data. Duane’s work is notable for marrying principled constraint‑satisfaction approaches with practical algorithmic imaging, revealing how nanometer‑scale objects “dance” in their native environments. Based in Singapore, he bridges physics, biology, and AI to train the next generation of scientists in data‑driven experimental discovery.
14 years of coding experience
13 years of employment as a software developer
Hwachong Junior College
Doctor of Philosophy (PhD), Computational Physics, Doctor of Philosophy (PhD), Computational Physics at Cornell University
Bachelor of Science (BS), Theoretical and Mathematical Physics, Bachelor of Science (BS), Theoretical and Mathematical Physics at Harvey Mudd College
Chinese, English, python