Benjamin Chidester
Research Consultant at BC Data Science
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolBenjamin Chidester is a computational biologist and research consultant with nine years of experience applying machine learning, computer vision, and signal processing to single-cell and spatial transcriptomics/proteomics. Holding a PhD in Electrical and Computer Engineering, he has combined academic research at Carnegie Mellon with industry roles at Enable Medicine and consulting through BC Data Science, translating microscopy and imaging innovations into actionable biological insights. He specializes in spatial single-cell analysis and end-to-end image analysis pipelines, with a strong track record of developing algorithms for custom imaging hardware and microscopy applications. Based in Pittsburgh, he brings both deep theoretical grounding and practical implementation experience, often bridging experimental workflows and scalable computational methods. An under-the-radar strength is his ability to move techniques from prototype research code into reproducible tools for biological teams.
9 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Illinois Urbana-ChampaignBachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (13)
spatial-transcriptomics10
microscopy7
bioinformatics7
transcriptomics7
image-analysis6
spatial6
neuroimaging5
machine-learning5
python4
slide2
visualization2
computer-vision2
digital-pathology1
Programming languages (3)
Github contributions (5)
bchidest/DBC
Aug 2017 - Jul 2018
Contributions:20 pushes, 2 branches in 10 months
bchidest/CFNet
Feb 2019 - Mar 2019
Contributions:10 commits, 9 pushes, 1 branch in 1 month
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