Summary
David Nes is a multidisciplinary postdoctoral researcher with 12 years of experience translating electrical engineering and embedded-systems expertise into human neuroscience and rehabilitation technologies. He has led and contributed to neural-interface projects at Caltech, UW, Pitt, MIT and Cornell, designing stimulation paradigms, custom hardware and machine-learning pipelines to restore sensation and decode neural signals in clinical and animal studies. His technical toolkit spans control theory, DSP, embedded firmware, PCB design and parallelized data processing, paired with strengths in interdisciplinary project management and multi-institution coordination. Notably, he has combined hands-on circuit and PCB work with human cortical stimulation experiments—bringing bench-level hardware design directly into bedside neural prosthetics research. Based in Pasadena, he blends rigorous academic training (PhD, UW; MS, Pitt; BS, Cornell) with practical system-building that accelerates translation from lab prototypes to human-applicable neurodevices.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at University of Washington
BS, Electrical and Comupter Engineering, BS, Electrical and Comupter Engineering at Cornell University
Master of Science (M.S.), Electrical and Computer Engineering, Master of Science (M.S.), Electrical and Computer Engineering at University of Pittsburgh
English, Norwegian