Kaitlin Laverty
Postdoctoral Research Fellow at Memorial Sloan Kettering Cancer Center
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolKaitlin Laverty is a computational biologist and postdoctoral research fellow with a PhD in Molecular Genetics from the University of Toronto and a decade of experience applying machine learning to functional genomics. Her research has produced computational methods for discovering comprehensive RNA-binding protein specificities and revealed unconventional RBP behaviors, alongside earlier work mapping the Cannabis sativa genome. She combines strong hands-on coding and course development—having built a third-year genomics programming course and R packages for LC-MS data—with extensive teaching and conference presentation experience. Based in Old Toronto and now at Memorial Sloan Kettering, she brings an unusually broad toolkit that spans algorithm design, data infrastructure, and applied genomics pedagogy.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Molecular Genetics, 4.0/4.0, Doctor of Philosophy - PhD, Molecular Genetics, 4.0/4.0 at University of Toronto
English, FrenchGithub contributions (5)
kaitlin309/PRIESSTESS
Nov 2021 - Oct 2022
Contributions:35 commits, 32 pushes, 1 branch in 11 months
morrislab/RNAcompete_classifier
Oct 2022 - Oct 2022
Contributions:1 release, 2 pushes, 1 branch in 10 days
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