Adam Stratmeyer

Adam Stratmeyer

Lead Researcher  ·  Observable Compute Foundation

J.D., behavioral scientist, AI researcher. My work centers on a deceptively simple question: what does a system actually do, and how would you know? That question runs through AI observability, legal compliance, behavioral science, and the pastoral work I do with people in crisis. I've published on knowledge gradients, AI alignment, and why attachment theory is empirically incoherent. I also make records.

Adam Stratmeyer (J.D., University of South Dakota) is a legal-technical AI researcher and Lead Researcher at the Observable Compute Foundation, where he develops observable function and knowledge gradient frameworks for AI transparency. With a background spanning IRB compliance, behavioral science, data strategy, and legal analysis, he bridges the gap between AI decision-making systems and the legal and cognitive frameworks required to understand and govern them.

01 Experience

Observable Compute Foundation

Lead Researcher (Current)

  • Developing the Observable Function theory — a framework for understanding what processing entities actually do, as opposed to what their designers intend them to do.
  • Authored the Knowledge Gradient Framework (v2.0), which treats informational incompleteness as a structurally meaningful signal rather than a deficiency — applicable across AI systems, human cognition, and complex adaptive systems.

WellFully SD / Abbott House

Behavioral Analyst & Youth Advocate (2024 – Present)

  • One-on-one counseling and direct support for youth in addiction recovery — drawing on behavioral science, trauma-informed care, and pastoral practice.
  • Advocacy for at-risk youth navigating behavioral health systems, institutional barriers, and crisis — functioning as a psychological advocate and pastoral presence.
  • Group facilitation grounded in evidence-based behavioral frameworks.
  • HIPAA privacy compliance reviews.

Stratmeyer Analytica

Founder (2018 – Present)

  • Built data pipelines for legal compliance modeling — translating regulatory language into behavioral and statistical frameworks for automated analysis.
  • Consulting on AI behavior mapping against privacy statutes, identifying compliance exposure prior to deployment.

Western Dakota Technical College

Faculty (2018 – 2022)

  • Taught Psychology, Sociology, Speech, and Workplace Psychology to a non-traditional undergraduate population.
  • Applied statistical evaluation to track student outcomes and refine instruction over time.

University of South Dakota, Office of Research

Graduate Compliance Officer (2016 – 2018)

  • Reviewed 300+ human subjects research proposals for ethical compliance and federal regulatory conformance. Served as an alternate IRB member and independently audited more than two dozen active studies.
  • Conducted statistical reviews and data audits to verify research validity.
  • Streamlined HIPAA privacy protocols and lab safety procedures.

02 Projects

03 Research Archive

Two frameworks I've been building for a while.

04 Publications & Presentations

Books

Articles & Frameworks

Presentations

05 Education & Affiliations

Education

Graduate Coursework: Quasi-Experimental Design, Statistics, Multivariate Statistics, Theories of Personality, Abnormal Psychology, Research Methods, Psycholinguistics, Psychoacoustics.

Certifications: Post-Secondary Teaching Credential (WDT) · Online Teaching Certificate (WDT)

Affiliations

American Bar Association  ·  American Psychological Association  ·  Delta Theta Phi  ·  Psi Chi  ·  Veterans' Legal Educational Group  ·  American Sociological Association  ·  The Innocence Project  ·  ULC Ministries

06 Connect