Summary
Nolan Brady is an applied AI researcher and PhD student based in Boulder, Colorado, with eight years of experience blending software engineering and neuroscience to tackle real-world brain-data problems. He develops and applies machine learning and deep learning methods to fMRI and fNIRS signals, currently investigating how environmental stressors affect maternal and neonatal brain development within the RISE study. Prior work includes research on brain–computer interfacing under anonymity, AI, AR, and VR contexts, grounded in several years as a software engineer building production systems. Nolan’s background spans computer science, neuroscience, and marketing, giving him a rare combination of technical depth and user-centered thinking that informs experimental design and data interpretation. He’s comfortable moving from code and signal processing to hypothesis-driven neuroresearch, and his ongoing full-stack study through Codecademy reflects a continuous commitment to practical engineering skills. Colleagues describe him as a pragmatic scientist who translates messy biological data into robust computational models with clear translational goals.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Colorado Technical University
Bachelor of Business Administration (B.B.A.), Marketing, Bachelor of Business Administration (B.B.A.), Marketing at Washington State University
Running start Peirce College
Full Stack Certification, Computer Science, Currently In Process, Full Stack Certification, Computer Science, Currently In Process at Codecademy
Bachelor's degree, Neuroscience, Bachelor's degree, Neuroscience at University of Colorado Boulder