Dr. Daniel R. Leopold

Dr. Leopold is a core member of The Path's AI team. He runs regular safety reviews of the AI, sharpens its clinical guardrails, and evaluates how the system performs across the cases it sees — the work that decides whether The Path is genuinely safe and effective, not just plausible. As the clinical guide on company-wide decisions, and on product in particular, he shapes how every feature reaches the people who use it.

His research at the University of Colorado, published across the Journal of the American Academy of Child & Adolescent Psychiatry, Journal of Abnormal Psychology, and Neuroscience journals, has generated more than 2,400 citations — with a particular focus on ADHD, learning differences, and machine-learning methods for individual clinical prediction. That last strand is the methodological foundation for how The Path builds hyper-personalized user models: most mental health apps apply population-level insights to individual users (what generally helps anxious people), while The Path's architecture, informed by Dr. Leopold's work, models what specifically helps this user, given their unique pattern of emotions, behaviors, and goals.

Dr. Leopold holds a PhD in Clinical Psychology and Neuroscience from CU Boulder. He completed his internship in neuropsychology at Children's Hospital Colorado, followed by an NIMH-funded postdoctoral fellowship at the University of Colorado School of Medicine. His collaborative work spans the neuroscience of learning differences, psychiatric risk in adolescence, and the validation of clinical constructs across development.