Ivan Borozan
Research Scientist
Old Toronto, Ontario, Canada
Summary
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SeniorIvan Borozan is a research scientist with a PhD in theoretical and computational physics and 13 years of experience applying quantitative methods to computational biology, bioinformatics, and biostatistics. He specializes in building mathematical models and scalable computational tools to interpret high-dimensional NGS datasets for human genome analysis. Comfortable bridging theory and practice, he translates complex statistical ideas into reproducible pipelines and actionable biological insights. Based in Old Toronto, he combines deep academic rigor with hands-on software development as a computational scientist. Notably, his background in physics gives him a distinct advantage in modeling uncertainty and complex systems behavior within biological data. He is driven to turn large-scale sequencing data into robust, interpretable results that inform research and clinical decisions.
13 years of coding experience
French, Serbian, English
Github Skills (9)
solar8
photovoltaic8
science7
machine-learning6
python6
data-science4
pipeline4
php1
web-application1
Programming languages (1)
Github contributions (5)
iborozan/solar
Sep 2019 - Jan 2020
Insight Data Science Project: Predicting Photovoltaic Solar Panel Generation Using Machine Learning
Contributions:100 commits, 90 pushes, 1 branch in 4 months
pythoninsight-data-sciencesciencedata-sciencephotovoltaic
oicr-ibc/cssscl
Sep 2015 - May 2020
Contributions:2 releases, 139 commits, 135 pushes in 4 years 8 months
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