Summary
John Lindstedt is a cognitive scientist turned data scientist and open-source AI developer with 15 years of experience applying rigorous behavioral science to practical AI tools and education. Based in Albany, NY, he researches foundational LLM behavior and builds agentic systems and facilitative interfaces that make advanced AI accessible to learners and practitioners. His background spans lab and in-the-wild studies, cognitive modeling, and instrumentation like EEG and eye-tracking, which informs a human-centered approach to tool design. As Director of AI R&D at FreeMoCap he co-maintains SkellyBot, and he currently focuses on ethical, pragmatic AI applications at Solutions for Information Design. He combines academic depth (PhD in Cognitive Science) with hands-on engineering and community-facing content, aiming to translate the power of LLMs into everyday skill and learning gains. An understated strength is his ability to bridge experimental rigor with deployable open-source projects that educators and researchers can adopt.
15 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Cognitive Science, Doctor of Philosophy (Ph.D.), Cognitive Science at Rensselaer Polytechnic Institute
B.S., Psychology, Computer Science, B.S., Psychology, Computer Science at Eastern Michigan University
English, Spanish