Summary
Nicholas Hardy is a Principal Scientist specializing in machine learning and neuroscience with nine years of experience building clinical brain-computer interface (BCI) systems that translate neural activity into real-world assistive technologies. Based in the San Francisco Bay Area, he has led cross-functional teams at Synchron to design, validate, and deploy real-time decoding pipelines for a commercial neural prosthetic after advancing BCI performance during a UCSF postdoc that yielded a Nature Biotechnology co-first-author paper. His work spans deep reinforcement learning for online decoders, large-scale neural data analysis, and the infrastructure to move models from research into clinical product. Nicholas also advises early-stage neurotech investors, blending rigorous academic training (PhD, UCLA) with pragmatic product and regulatory awareness to assess scientific feasibility. An underappreciated strength is his track record in outreach and translating complex neuroscience for nontechnical stakeholders, from K-12 programs to venture partners.
9 years of coding experience
4 years of employment as a software developer
The University of Maryland, College Park
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at University of California, Los Angeles