Ruifan Pei is a computational scientist with 7 years of cross-disciplinary experience applying Python-driven data science to bioinformatics and imaging problems. Currently at Bayer and formerly a visiting scientist at the Broad Institute, Ruifan builds robust analysis pipelines for high-dimensional cell imaging and has contributed improvements to open-source tooling for Cell Painting data. Proficient in the SciPy stack, scikit-learn, TensorFlow, pandas, and SQL, they translate noisy experimental data into quantitative insights that suggest biological mechanisms and potential disease drivers. Prior roles in biomedical engineering and quantitative trading reflect an ability to design experiments, lead small teams, and make fast, data-informed decisions under uncertainty. Comfortable as an independent contractor, Ruifan also brings practical experience training image segmentation models and delivering analytics for early-stage startups. Based in Waltham, MA, they thrive in fast-learning environments juggling multiple projects where rigorous, reproducible code meets biological discovery.
7 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Chemical Engineering, Bachelor’s Degree, Chemical Engineering at Massachusetts Institute of Technology
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