Summary
Çağdaş Topçu is a research-focused neuroscientist and engineer with nine years’ experience developing algorithms and signal-processing pipelines for intracranial electrophysiology and neuromodulation. He has driven PhD-level work on mapping and targeting brain stimulation to enhance human memory—work conducted at Mayo Clinic and continued across European research centers—resulting in 8 papers, 2 book chapters, 2 patent applications and 15+ conference presentations. Skilled in Python and MATLAB, he builds reproducible analysis workflows for ECoG/sEEG, EMG and cardiac-respiratory data using MNE, PyTorch and classical ML, and routinely applies advanced nonlinear and dynamical-systems methods (phase response curves, Kuramoto/Wilson-Cowan models, entropy measures). His clinical-translation toolkit spans data acquisition systems (Neurolynx, ADInstruments), stimulation paradigms (DBS, functional electrical stimulation) and hands-on rehabilitation studies after transplant and trauma. Less obvious but distinctive: he combines neuroscience-grade signal processing with muscle-synergy and intermuscular-coherence analyses, bridging brain and peripheral recovery mechanisms. Based in Rochester with affiliations across Europe, he focuses on translational solutions for epilepsy and neurodegeneration.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biocybernetics and Biomedical Engineering, Doctor of Philosophy - PhD, Biocybernetics and Biomedical Engineering at Gdańsk University of Technology
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Yıldız Teknik Üniversitesi
Master of Science (MSc), Electrical and Electronics Engineering, Master of Science (MSc), Electrical and Electronics Engineering at Akdeniz University
Fachhochschule Landshut
English, Turkish, German, Polish