Daniel Polyakov is a computational neuroscientist and senior algorithm engineer with nearly two decades of experience turning advanced signal-processing and AI research into production-grade neurotech, medtech, AgTech, and defense products. He combines a PhD in neuroscience with hands-on full-lifecycle engineering—from Python/MATLAB prototyping and transformer-based time-series models to real-time C/C++ firmware for embedded DSPs—delivering clinical-grade solutions such as personalized DBS modeling and high-accuracy audio/physiology classifiers. As a Brain Stimulation Research Fellow at Tel Aviv Medical Center and founder of Matlab Solutions, he has repeatedly translated noisy multimodal biosignals (EEG, LFP, PPG, IMU) into reliable algorithms used in clinical and operational settings. Comfortable leading cross-disciplinary teams, auditing startup feasibility, or stepping in as a technical co-founder, he blends academic rigor with product-focused pragmatism. A less obvious strength is his track record of moving prototypes into constrained real-time environments—from livestock-monitoring firmware to defense-grade audio detectors—showing rare end-to-end expertise across research, embedded systems, and clinical deployment.
9 years of coding experience
8 years of employment as a software developer
B.Sc, Electronics and Computers Engineering, B.Sc, Electronics and Computers Engineering at Technion - Israel Institute of Technology
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Ben-Gurion University of the Negev
English, Hebrew, Russian, Spanish, Italian, French
Python package for controlling your computer using bci
Contributions:32 pushes in 2 years
statelesspythonbcitodoistcontrolling
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