Duncan Muir, PhD

Machine Learning Scientist

Pinney Lab (2022-2025). Keiser Lab (2022-2024). Duncan completed his B.S. in Data Science and Biochemistry at Northeastern University. Before starting graduate school, he worked in the Structural Biology group at Relay Therapeutics in Cambridge, Massachusetts. There he supported medicinal chemistry efforts through crystallographic fragment screening and developed tools to store and track crystallographic data. As a part of the UCSF Biophysics PhD program he was interested in using high-throughput microfluidic biochemical assays to assemble rich datasets that probe and model the effects of mutations on enzyme activity and stability. He was co-advised by Margaux Pinney.

Lab papers

1. Autoparty- Machine Learning-Guided Visual Inspection of Molecular Docking Results.

   Shub L, Korczynska M, Muir DF, Lin FY, Hall BW, Mathiowetz AM, Keiser MJ. J Chem Inf Model. 2025 Aug 11.

2. Evolutionary-scale enzymology enables exploration of a rugged catalytic landscape.

   Muir DF, Asper GPR, Notin P, Posner JA, Marks DS, Keiser MJ, Pinney MM. Science. 2025 Jun 12.