Kurt Thorn

Kurt is a leader in the field of imaging and data sciences and , prior to joining ArrePath, was Senior Director Data Science at Zymergen, where he oversaw the building of a wide variety of data science tools, including statistical models for analysis of high throughput screening and fermentation data, recommendation algorithms for protein sequences catalyzing desired enzymatic functions and prediction of beneficial genetic edits for strain engineering, and chemical machine learning for predicting molecular properties from chemical structures.

Prior to Zymergen, Kurt spent 11 years at UCSF as an adjunct professor and director of the Nikon Imaging Center at UCSF/QB3, a highly successful light microscopy core facility, with 300 annual users and 40 papers published per year. He also ran an NIH-funded research lab that focused development of an integrated microscopy and microfluidic platform to enable highly multiplexed biochemical assays.

Kurt earned a bachelor’s degree in chemistry from Princeton University and a PhD in biophysics from UCSF, where he studied kinesin motility using single molecule imaging. Following UCSF, he was a fellow at the Bauer Center for Genomic Research at Harvard University, where he developed in vivo FRET bioassays.