Duncan brings rich interdisciplinary experience in the computational and experimental sides of biochemistry and drug discovery. During his Ph.D. at UCSF, he used high-throughput microfluidics and machine learning to dissect the sequence-function relationships in enzymes. His work has been featured in Science, Journal of Chemical Information and Modeling, and Journal of General Physiology.

Prior to UCSF, he worked at Relay Therapeutics, where he discovered novel drug binding sites through X-ray crystallography and fragment screening, while also developing software to automate storage and analysis of protein-ligand structural data.