Susanna Morin
Senior Data Scientist
Dallas, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolSusanna Morin is a Senior Data Scientist based in Dallas with seven years of experience applying statistical modeling and machine learning to healthcare and genomics problems. She combines production-focused back-end engineering—demonstrated by her MCMC genotyper work in the vg genome graph project—with clinical informatics expertise built from EHR-driven survival and cost-of-care analyses. At Gainwell and UCSF she delivered models and data pipelines that informed policy and clinical decision-making, mentored junior analysts, and improved team efficiency. Her background spans single-cell and comparative genomics to population health, giving her a rare ability to translate algorithmic innovation into actionable clinical insights. Susanna’s work balances rigorous evaluation against gold-standard datasets with pragmatic deployment in healthcare systems.
7 years of coding experience
3 years of employment as a software developer
University of California Santa CruzMaster of Science - MS Biological and Medical Informatics, Master of Science - MS Biological and Medical Informatics at University of California, San Francisco
Spanish
Github Skills (16)
algorithm10
data-structures10
algorithms10
c-language10
cprogramming-language10
data-structure10
graph-algorithms9
biom8
bioinformatics8
unit-testing8
graphing7
genome7
ggraph7
graph7
genomics7
Programming languages (1)
Github contributions (5)
vgteam/vg
Jul 2019 - Mar 2021
tools for working with genome variation graphs
Role in this project:
Back-end Developer & Algorithm Engineer
Back-end Developer & Algorithm EngineerContributions:126 commits, 13 PRs, 16 pushes in 1 year 9 months
Contributions summary:Susanna's contributions center around implementing and refining the MCMC (Markov Chain Monte Carlo) genotyper within the vg project. They developed the core components of the genotyper, including data structures like the PhasedGenome class and helper functions for graph traversal and snarl processing. Their work included unit testing of the MCMC genotyper and integrating the algorithm with the project's existing infrastructure. The user demonstrated strong algorithmic and back-end development skills in the context of genomics.
genomegenome-graphdnagenomicsbioinformatics
code-s-witch/vg
Jul 2019 - Apr 2021
tools for working with genome variation graphs
Contributions:126 pushes, 8 branches in 1 year 9 months
genomegenomicsbioinformaticsgraphsvariation
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