Maciej Dobrzynski
Staff Scientist at University of Bern
Bern, Bern, Switzerland
Summary
👤
Senior🎓
Top SchoolMaciej Dobrzynski is a Staff Scientist and computational biophysicist with nine years of focused experience and over a decade of programming and research work bridging academia and industry. He builds robust data analysis and visualization pipelines for time-series single-cell imaging and high-content screening, combining mathematical modelling with scientific programming in R/Shiny, Python, Mathematica, and Matlab. His background includes postdoctoral roles and collaborations with AstraZeneca, where he analysed drug-response heterogeneity and modelled cancer signalling pathways, and long-term work at the University of Bern developing single-cell time-lapse workflows. Comfortable in UNIX and HPC cluster environments, he translates complex experimental datasets into reproducible, scalable analyses aimed at personalised medicine and healthcare. Less obvious is his cross-disciplinary fluency—from cybernetics and biophysics training to hands-on software tools—that lets him move between theoretical models and production-ready analysis code.
9 years of coding experience
10 years of employment as a software developer
MSc, Physics, Biophysics, Very Good, MSc, Physics, Biophysics, Very Good at Uniwersytet WarszawskiCybernetics, Cybernetics at Wojskowa Akademia Techniczna w Warszawie
Polish, English
Github Skills (41)
r-package10
temporal10
deepzoom10
cluster-analysis10
r9
viewer9
shiny9
image-viewer9
microscopy9
clustering9
image-analysis8
neuroimaging8
time-series8
image-processing7
build-script7
Programming languages (5)
Github contributions (5)
pertzlab/ARCOS
Jul 2022 - Mar 2025
An R package to detect collective spatio-temporal phenomena
Contributions:3 PRs, 2 pushes in 2 years 8 months
r-packagespatio-temporaltemporaldetectcollective
dmattek/lap-track
Mar 2018 - Feb 2025
Contributions:26 pushes, 1 branch in 6 years 11 months
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