David Novak
Postdoctoral Scholar at Keck School of Medicine of the University of Southern California
Ghent, East Flanders, United States
Summary
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Senior🎓
Top SchoolDavid Novak is a bioinformatics researcher and consultant with eight years of experience combining computational biology, machine learning, and practical lab-focused projects. Currently a Postdoctoral Scholar at Keck School of Medicine (USC) with prior PhD work at SaeysLab (VIB–UGent), he has built and taught ML-driven analyses for single-cell and trajectory inference while contributing C++ and R implementations that bridge graph theory and algebraic topology. He has a track record of translating complex methods into usable tools for industry and clinical partners through consulting roles (Burns Life Sciences, Ionic) and academic teaching at Ghent University. Based in Pasadena, he pairs deep algorithmic rigor with hands-on cytometry and oncology research, and often moves between code, classroom, and the bench to accelerate translational projects. An uncommon strength is his blend of formal ML instruction experience and low-level algorithm implementation, enabling both reproducible research and production-ready pipelines.
8 years of coding experience
7 years of employment as a software developer
High School Exchange student, High School Exchange student at NMS/BG/BRG KlusemannstrasseDoctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at Ghent UniversityHigh School IB Diploma Programme, High School IB Diploma Programme at Nový PORGMaster's degree Bioinformatics, Master's degree Bioinformatics at Charles University
English, Czech, German, Spanish, Slovak, Dutch
Stackoverflow
57reputation
2kreached
3answers
3questions
Github Skills (32)
interpretation8
chord-diagram8
connectivity7
orange7
cytoscapejs7
rcpp6
vtk6
phylogeny6
ggtree6
pascal6
r6
avl-tree6
visualization4
jupyter-widget4
r-package4
Programming languages (4)
Github contributions (5)
saeyslab/ViVAE
Apr 2024 - Dec 2024
Contributions:82 pushes, 2 branches, 2 comments in 7 months
saeyslab/ViScore
Dec 2023 - Oct 2024
Unsupervised benchmarking and supervised explanatory evaluation measures for dimensionality reduction of single-cell data
Contributions:1 PR, 63 pushes, 3 branches in 10 months
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