Alejandro Ojeda is a software developer and computational neuroscientist with 12 years of experience building neurotechnology for both academic and industry settings, currently developing online/offline signal processing and imaging tools at Brain Products GmbH. He blends electrical engineering, machine learning, and data science to turn neural signals (M/EEG, LFP, fNIRS) into closed-loop human–machine interfaces, with hands-on experience spanning algorithm design, efficient implementation, hardware development, and validation. His background includes roles at Kernel, Intheon, and translational neural-engineering leadership at NEATLABS, reflecting a focus on moving novel methods from animal models and bench research into human-ready systems. Based in Miami, he leverages a PhD in Brain Mapping and BMIs from UC San Diego plus an engineering degree from CUJAE to navigate both theory and production constraints. Notably, he repeatedly operates at the intersection of real-time software and biophysical hardware, delivering practical solutions for real-world neurotech applications.
13 years of coding experience
14 years of employment as a software developer
University of California, San Diego
M.Sc., Neurosciences, M.Sc., Neurosciences at National Center for Scientific Research
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Polytechnic University of Havana (CUJAE), Cuba
MoBILAB toolbox for MATLAB is an analysis and visualization platform for Mobile Brain/Body data.
Contributions:108 commits, 18 PRs, 72 pushes in 8 years 8 months
matlabmobilevisualization
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