Caitlin Simopoulos
Senior Computational Biologist
Hamilton, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolCaitlin Simopoulos is a Senior Computational Biologist with 10 years of experience applying machine learning and advanced statistical methods to complex -omics and single-cell datasets, most recently driving computational efforts at Recursion. Her work bridges experimental and computational teams—supporting gRED/Genentech projects on airway and lung disease—and spans metaproteomics, microbiome analysis, and lncRNA discovery from her doctoral and postdoctoral research. She builds user-friendly tools and web apps to make sophisticated analyses accessible, and she has a track record of turning cutting-edge methods into practical solutions for experimental scientists. Based in Hamilton, Ontario, Caitlin pairs rigorous academic training (PhD McMaster, MSc University of Guelph) with hands-on lab collaboration and science communication, often surfacing non-obvious biological patterns through custom ML approaches.
10 years of coding experience
4 years of employment as a software developer
PhD, Computational Biology, PhD, Computational Biology at McMaster UniversityMaster of Bioinformatics, Bioinformatics, Master of Bioinformatics, Bioinformatics at University of Guelph
English, French
Github Skills (50)
bioinformatics9
r-package7
machine-learning-algorithms7
machine-learning6
shotgun6
tandem6
mass-spectrometry5
mass5
r4
interoperability4
imputation4
matching4
cffi4
iterative4
python4
Programming languages (6)
Github contributions (5)
gbgolding/crema
Nov 2017 - Jun 2022
Classifying RNAs as lncRNAs by ensemble machine learning algorithms
Contributions:37 commits, 5 PRs, 35 pushes in 4 years 8 months
machine-learning-algorithmsensemblemachine-learninglearning-algorithmsbioinformatics
caitsimop/caitlin-academic
Dec 2020 - Jan 2025
Contributions:28 pushes, 1 branch in 4 years
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