Witold Wolski
Data Scientist
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolWitold Wolski is a data scientist and software engineer with 15 years’ experience applying statistical modeling, signal processing and robust software engineering to mass spectrometry and biological data problems. With a PhD in Chemometrics and an MSc in Statistics, he blends principled experimental design and multivariate analysis with hands-on C++, Java, Python and R development across Windows and Linux. He has built high-performance, multithreaded analysis tools and integrated complex imaging hardware into production software, and advises researchers on classification, variable selection and prediction workflows. An advocate of test-driven development, CI and SOLID principles, he has modernized numerical code in notable open-source projects like OpenMS by replacing GSL calls with Boost equivalents, reflecting a focus on numerical correctness and portability. Based in Zurich, he combines academic rigor with pragmatic engineering to deliver reproducible, production-ready data analysis pipelines.
16 years of coding experience
10 years of employment as a software developer
PhD, Chemometrics, Cum Laude, PhD, Chemometrics, Cum Laude at Freie Universität BerlinMaster of Science (M.Sc.), Statistics, distinction, Master of Science (M.Sc.), Statistics, distinction at The University of Sheffield
English, German, Polish
Stackoverflow
1,014reputation
41kreached
6answers
28questions
Github Skills (16)
statistics10
algorithms10
openms10
mass-spectrometry10
c-language10
cprogramming-language10
proteins10
rlang6
dplyr6
drive6
github6
abstract-syntax-tree6
dataframe6
devtools6
r6
Programming languages (13)
Github contributions (5)
OpenMS/OpenMS
Sep 2010 - Sep 2012
The codebase of the OpenMS project
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits in 2 years
Contributions summary:Witold contributed to the OpenMS project by replacing GSL (GNU Scientific Library) functions with their Boost equivalents across several source files. These changes primarily involved altering code related to statistical distributions like exponential and Cauchy. The commits involved code modifications in areas such as simulation, isotope modeling, and proton distribution analysis. This indicates a focus on numerical computation and statistical modeling within the project's domain.
openmsc-plus-plusms-datamass-spectrometrylinux
wolski/MAS6003TaskSolutions
Dec 2016 - May 2017
Contributions:40 commits, 24 pushes, 1 branch in 4 months
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