Dennis Lorson
R&D Engineer Computer Vision at Apixa
Leuven, Flemish Brabant, Belgium
Summary
👤
Senior🎓
Top SchoolDennis Lorson is an R&D engineer focused on computer vision and machine learning for cell and molecular diagnostics, with a decade of experience building algorithms and cloud-backed pipelines for inline holographic flow cytometry and genetic testing. His background spans startups and industry leaders—Apixa, miDiagnostics, Agilent, Biocartis—where he translated CNNs, unsupervised methods and predictive models into production-ready tools for NIPT, PGT and oncology assays. He pairs deep academic training (MSc electronics, KU Leuven; study at ETH Zürich) with hands-on software engineering, from ETL and API design to scalable simulations and cloud infrastructure. Notably, he has bridged image analysis and bioinformatics throughout his career, validating algorithms against competing ML models and shipping diagnostic software used in clinical contexts. Based in Leuven, he brings a pragmatic research mindset that focuses on measurable diagnostic performance and deployable systems.
10 years of coding experience
13 years of employment as a software developer
MSc, Electronics Engineering, magna cum laude, MSc, Electronics Engineering, magna cum laude at KU LeuvenComputer Graphics, Computer Graphics at Eidgenössische Technische Hochschule Zürich
English, Dutch, French, Chinese
Github Skills (5)
monetdb2
database-driver1
sql1
database1
ruby1
Programming languages (2)
Github contributions (5)
dlorson/docker-ttrss
Feb 2019 - Feb 2021
Tiny Tiny RSS feed reader as a Docker image.
Contributions:16 pushes in 2 years
rssrss-feed-readerdocker-imagetiny-tiny-rsstiny
diploidgenomics/ember-cli-cors
Oct 2015 - Feb 2016
Contributions:1 release, 2 commits, 2 PRs in 4 months
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