Andrew Jung
Machine Learning Research Scientist at Deep Genomics
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAndrew Jung is a Machine Learning Research Scientist at Deep Genomics and a PhD candidate at the University of Toronto/Vector Institute, blending 11 years of experience across computational biology, ML, and applied physics. He has moved between academia and industry—progressing from ML research internships to a full research scientist role—applying deep learning to genomics problems while maintaining rigor from his physics background. His work spans prototyping production ML systems and hands-on engineering (including full-stack development and clinical QA tools), enabling practical translation of research into deployed biomedical tools. With a near-perfect academic record and publications tied to medical physics early in his career, he brings both quantitative depth and product-focused execution to complex biological challenges.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics, 3.99, Bachelor of Science (B.Sc.), Physics, 3.99 at Western UniversityDoctor of Philosophy - PhD, Computational Biology and ML, 4.0, Doctor of Philosophy - PhD, Computational Biology and ML, 4.0 at University of Toronto
Github Skills (8)
highlighting6
syntax-highlighting5
react4
rna-seq3
vim3
jsx3
bioinformatics2
genomics2
Programming languages (4)
Github contributions (5)
andrewjjung47/IQM_TranslationTable
Oct 2014 - Apr 2015
Contributions:34 commits, 14 pushes, 2 branches in 5 months
andrewjjung47/ComMotorCommandLibrary
Nov 2014 - Mar 2015
Contributions:7 commits, 3 pushes in 4 months
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