Ruifan Pei
Computational Scientist
Ruifan Pei is a computational scientist in the Bayer-Broad Precision Cardiology Lab. His work involves processing and analyzing phenotypic data from high-content imaging assays in order to gain mechanistic insights regarding the effect of certain perturbations on cardiomyocytes.
Prior to joining Bayer, Pei worked in a variety of industries including finance and biotech before switching to a more data-focused role in 2019 where he started out as a contractor for a data science consulting startup. He has most recently completed an internship in the PCL studying the impact of previously uncharacterized genetic perturbations on cardiomyopathy. During the internship, he developed a new data analysis pipeline for high-content imaging data on cardiomyocytes that contributed to future analysis.
Pei obtained a B.S. in chemical engineering from MIT in 2016 and is currently enrolled for a M.S. in computer science with a specialization in machine learning at Georgia Tech.
