Paul Wolfe
Software Development Consultant at Hartwig Medical Foundation
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolPaul Wolfe is a software development consultant and engineering leader with a decade of experience delivering robust, production-grade systems in high-frequency trading and beyond. He has led and scaled global teams at IMC, driving strategy, standards, and a Java-based valuation and risk stack used firm-wide, and now applies that rigor to healthcare genomics with Hartwig Medical Foundation. Comfortable bridging traders, quants, and developers, Paul has a track record of moving organizations to continuous delivery, building data-driven trading platforms, and mentoring technical leads into managers. He also contributes to open-source genomics tooling—extending ADAM’s core converters and duplicate-marking logic—demonstrating practical data-engineering chops in Spark and Avro ecosystems. Based in Toronto, he combines deep systems engineering with strong cross-functional communication to turn complex domain problems into operational software.
10 years of coding experience
15 years of employment as a software developer
Toronto Metropolitan University
Github Skills (15)
bioinformatics10
regular-expression10
javas10
genomics10
spark10
java10
scala10
parquet9
avro9
algorithms8
data-structures8
algorithm8
data-structure8
data-pipeline8
data-pipelines8
Programming languages (8)
Github contributions (5)
bigdatagenomics/adam
Jun 2018 - Jan 2019
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Role in this project:
Back-end Developer / Data Engineer
Back-end Developer / Data EngineerContributions:6 commits, 9 PRs, 1 push in 6 months
Contributions summary:Paul primarily contributed to the ADAM genomics analysis platform by modifying and extending the functionality of the FastqRecordConverter and other core components. Their work involved expanding regular expressions to accommodate variations in Illumina metadata, specifically handling index sequences and the "N" character in sample names. The user also addressed an issue related to inverted duplicates within the mark duplicates process, ensuring all duplicates are identified. Additionally, the user added additional realignment targets to improve the accuracy of indel realignment.
pythonbioinformaticsadamlicensedbig-data
hartwigmedical/pipeline5
Feb 2018 - Jan 2023
Contributions:25 releases, 233 reviews, 2050 commits in 4 years 11 months
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