Scientific Software Analyst at Brain Products GmbH
Gilching, Bavaria, Germany
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Ramon Martinez-cancino is a Scientific Software Analyst with 12 years of experience specializing in EEG and neuroimaging methods, combining deep expertise in physics, math, and neurophysiology with strong programming skills in MATLAB and Python. He has contributed UI and plugin-aware enhancements to the widely used open-source EEGLAB project, reflecting both practical toolkit stewardship and attention to researcher workflows. His career spans academic and industry roles—from large-scale EEG/MRI analysis and biophysical modeling to developing preprocessing pipelines and experiment programming for fMRI and eye-tracking systems. At Brain Products GmbH he applies this blend of research-grade methods and software engineering to deliver reproducible neurodata solutions. Ramon’s background in nuclear engineering and computational neuroscience gives him a rare quantitative perspective on signal origins and forward-modeling that informs his pragmatic approach to EEG method development.
12 years of coding experience
13 years of employment as a software developer
University of California, San Diego
Master of Computational Neurosciences, Neuroscience, Master of Computational Neurosciences, Neuroscience at National Center for Scientific Research
Engineer's degree, Nuclear Engineering, Engineer's degree, Nuclear Engineering at INSTEC
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Role in this project:
Full-stack Developer
Contributions:32 commits, 10 PRs, 46 pushes in 1 year 6 months
Contributions summary:Ramon primarily contributed to the graphical user interface (GUI) aspects of the EEGLAB project. Their work involved modifying and optimizing GUI display elements, including button and text formatting. Furthermore, the user addressed a typo in a function call and updated help messages. They also introduced a new function for checking plugin status, indicating an understanding of the project's plugin architecture and potentially, some backend development.
A method for estimating the reliability of independent components (Artoni et al. 2014)
Contributions:46 commits, 2 PRs, 29 pushes in 1 year 5 months
independentestimatingmethodreliability
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Ramon Martinez-cancino - Scientific Software Analyst at Brain Products GmbH