Oliver Ruebel
Staff Scientist at Berkeley Lab
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolOliver Ruebel is a Staff Scientist at Lawrence Berkeley National Laboratory with over a decade of experience at the intersection of visualization, data analytics, and large-scale data management. He holds a Ph.D. in Computer Science from TU Kaiserslautern and has led the design and implementation of widely used scientific software—including OpenMSI, for which he serves as compute lead and chief software architect and which earned an R&D100 award. His work spans query-driven visualization, feature detection, and coupling analysis with visualization to accelerate discovery across domains from proteomics and neuroscience to particle physics and climate. A prolific researcher and engineer, he has authored 40+ peer-reviewed papers and more than 70 additional scientific outputs, and he routinely partners with domain scientists to translate complex experimental needs into scalable, production-grade tools. Less obvious: he blends systems-level engineering with hands-on algorithmic research, enabling both high-performance I/O solutions and feature-aware visual analytics in the same codebase.
13 years of coding experience
9 years of employment as a software developer
Dr. rer. nat, Computer Science, Dr. rer. nat, Computer Science at RPTU Kaiserslautern-Landau
English, German
Github Skills (73)
python10
schema10
matlab10
nwb10
open-science10
cross-platform10
data-format10
neuroscience10
open-data10
vtk10
hdf10
reproducible-research10
open-source10
hierarchical-data10
jupyter-widget9
Programming languages (11)
Github contributions (5)
hdmf-dev/hdmf-dev.github.io
Jan 2019 - Jun 2021
Rebository for the github.io page for HDMF
Contributions:4 PRs, 14 pushes, 5 branches in 2 years 4 months
github-io-page
NeurodataWithoutBorders/aqnwb
Jul 2024 - Jul 2026
A C++ API for data acquisition using the NWB Format
Contributions:291 reviews, 104 PRs, 730 pushes in 1 year 11 months
cppdata-acquisitionnwb
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