Jeff Wintersinger
Principal Scientist at Deep Genomics
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJeff Wintersinger is a Principal Scientist and computational biologist with 17 years of experience applying scalable machine learning and software engineering to cancer genomics and biomedical problems. Currently leading research at Deep Genomics after a PhD in Computer Science at the University of Toronto, he bridges rigorous algorithm development with practical pipelines for high-performance computing and interactive visualizations that make results accessible to biologists and clinicians. He has a track record of rapidly iterating analyses alongside non-computational collaborators, building robust ML methods that survive noisy biological data and production constraints. Trained in bioinformatics and health sciences, he combines domain insight with systems thinking to move models from prototype to reproducible, high-throughput workflows. An often-overlooked strength is his emphasis on intuitive visualization design as a scientific tool, not just a presentation layer.
17 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.00, Doctor of Philosophy - PhD, Computer Science, 4.00 at University of TorontoBachelor of Health Sciences, Bioinformatics, 3.84, Bachelor of Health Sciences, Bioinformatics, 3.84 at University of Calgary
Github Skills (38)
algorithms10
sequencing10
visualization9
mutation8
clojurescript8
trello8
knowledge-graph8
clojure8
graph8
markdown8
org-mode8
git7
knowledge-management7
window-manager6
privacy6
Programming languages (5)
Github contributions (5)
morrislab/pairtree
May 2017 - Nov 2021
Pairtree is a method for reconstructing cancer evolutionary history in individual patients, and analyzing intratumor genetic heterogeneity. Pairtree focuses on scaling to many more cancer samples and cancer cell subpopulations than other algorithms, and on producing concise and informative interactive characterizations of posterior uncertainty.
Contributions:1 review, 873 commits, 2 PRs in 4 years 6 months
morrislab/smchet-challenge
Jun 2015 - Dec 2018
Data related to the ICGC-TCGA DREAM Somatic Mutation Calling - Tumour Heterogeneity Challenge.
Contributions:1 release, 65 commits, 24 pushes in 3 years 6 months
callingmutationtcgasomaticicgc
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