Florian Gerber
Data Scientist
Olten, Solothurn, Switzerland
Summary
👤
Senior🎓
Top SchoolFlorian Gerber is a data scientist with 14 years of experience marrying rigorous statistical foundations and modern machine learning to tackle large multivariate space-time and image datasets. He holds a PhD in Applied Statistics from the University of Zurich and has applied his expertise across academia and industry—from postdoctoral research and high-performance analyses at NCAR to building supply-chain data products at IKEA. Florian is an advanced TensorFlow practitioner who also authors well-tested R and Python packages distributed on CRAN and PyPI, reflecting a strong commitment to reproducible, production-ready software. He routinely designs scalable, high-performance cloud implementations for remote sensing, environmental, and medical applications, and thrives in interdisciplinary teams where methodological innovation meets real-world impact. An unusual strength is his blend of deep theoretical knowledge with hands-on HPC and cloud experience, allowing him to move methods from research to operational systems.
14 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mathematics (major) and Philosophy (minor), Bachelor's degree, Mathematics (major) and Philosophy (minor) at University of BernPhD, Applied statistics, PhD, Applied statistics at University of Zurich
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (28)
optimizer8
r-package7
optimization7
clustering6
parallel-computing6
parallel6
vcenter5
mixed-models5
slurm5
spark4
cloud-init4
gcp4
vms4
ansible4
python4
Programming languages (3)
Github contributions (5)
florafauna/optimParallel-python
Apr 2020 - Apr 2021
A parallel computing interface to the L-BFGS-B optimizer
Contributions:1 release, 5 reviews, 8 commits in 1 year
paralleloptimizationoptimizercomputingbfgs
florafauna/gapfill-data
Sep 2018 - Oct 2018
Contributions:75 pushes, 1 branch in 3 days
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