Summary
Nicholas Chehade is a research scientist bridging neurobiology and computational methods with a decade of experience probing motor cortex dynamics in non-human primates. At the University of Pittsburgh he combines intrinsic signal optical imaging, laminar multielectrode recordings, and machine learning to map and model the spatiotemporal organization of M1 during reach-to-grasp behavior, analyzing activity from over 1,000 neurons. Trained in both computer science and neuroscience, he is fluent in Python and MATLAB and has a track record of building statistical and deep learning models for neural and image data going back to work at the Air Force Research Laboratory and NSF REU projects. Beyond bench and code, he brings practical systems skills from AV and lighting work, enabling meticulous experimental design and real-world deployment of neurotechnology.
10 years of coding experience
1 year of employment as a software developer
High School, High School at Solon High School
Doctor of Philosophy, Neurobiology and Neurosciences, Doctor of Philosophy, Neurobiology and Neurosciences at University of Pittsburgh
Bachelor's Degree, Computer and Information Sciences, General, Bachelor's Degree, Computer and Information Sciences, General at The Ohio State University
English