Duane Loh

Duane Loh is an Associate Professor at the National University of Singapore (NUS), affiliated with the Centre for BioImaging Sciences. His research focuses on developing computational methods to analyze microscopy data, combining machine learning with physical priors. He earned his PhD from Cornell University in 2010 and has pioneered techniques in X-ray and electron microscopy, particularly in single-particle imaging and nanocrystal dynamics.

• Education: PhD in Physics, Cornell University (2010)

Research interests include structural dynamics of biomolecules, nucleation processes in nanocrystals, and improving imaging techniques through algorithmic innovations. His group, the Computational Lens Group, has developed methods like 'Dragonfly' for X-ray laser data analysis and 'Pop-out Metrology' for high-throughput TEM imaging.

Recent work emphasizes machine learning applications in microscopy, such as classifying structural motifs in nanoparticles and studying ice nucleation in supercooled water. His team's advancements in data-driven analysis have enabled insights into biological systems and materials at nanometer scales.

Key achievements include the NUS Early Career Research Award and recognition as a Lee Kuan Yew Postdoctoral Fellow. He leads interdisciplinary projects involving collaborators from physics, chemistry, and computational science.

Current projects explore correlative imaging techniques for butterfly wing structures and developing AI-driven microscopy tools for real-time analysis. His group's GitHub repository hosts open-source software like 'Dragonfly' for single-particle reconstruction.