I’m an artificial intelligence researcher and entrepreneur whose primary goal is to reduce global poverty by providing extraordinary education worldwide. In addition to core technical competencies in AI and software, I’ve cultivated soft skills in leadership, project management, and communication.


I wrote the book Education: The Next Hundred Years, available through Barnes and Noble and as a Kindle Book on Amazon. The book combines insights from my research, teaching, and consulting experience to provide a roadmap for transforming education over the next century using emerging pedagogical and computational technologies.


I founded Edapt Technologies, which incorporated in November 2021. Within 5 months, we developed a financial literacy assessment suite to help schools in Rhode Island meet a newly legislated graduation requirement, and we became the official state-recommended measure of proficiency. Our efforts have been recognized by multiple non-profits and by the state treasurer.

FinLitRI.org Trophy

Recently, we’ve been prototyping tools that help students (across many subjects and ages) to build effective study habits. We were semi-finalists in the 2023 VITAL Prize for our work on a platform and professional learning sequence for middle school math teachers.

Other Business Experience

I’ve consulted on applications of AI for a variety of organizations across the US, China, and Brazil. Matt Petersen of New Classrooms says, “Sam stood out to us for his practical and well-informed technical insights as well as his holistic understanding of the educational ecosystem.”

I also had the privilege of participating in the 2022 cohort of the Techstars Alabama EnergyTech Accelerator as the founding CTO of PowerTechs Incorporated. During the program, I helped scope and deliver simulator-based task-driven skills assessments for multiple technical roles and facilitated a crowdsourcing-based competition in partnership with multiple community colleges and a major utilities provider. Somehow I also wound up rapping about EnergyTech startups to a packed theater.

AI Competencies

I have research experience in many flavors of Machine Learning, with a specialization in Reinforcement Learning and Reinforcement Learning Theory. The core of my doctoral work was on the application of machine learning and other innovations to educational problems to improve the scalability and equity of educational innovation. Some of the problems I’ve developed models for include adaptive assessment, spaced repetition, and content evaluation and recommendation.


My dissertation, Query Strategies for Directed Graphical Models and their Application to Adaptive Testing, brings together machine learning, computer science theory, and education research to develop scalable and effective methods for generating assessments for new topics. This is an important step forward in education research, as it allows us to easily create and, consequently, use rigorous measures of learning to evaluate educational interventions, pedagogy, and policy. My thesis defense is also available on YouTube.

Relevant Papers

Other Experience

Math Expertise

I also have a thorough background in mathematics and probabilistic analysis. I published these papers as an undergraduate:

Software Competencies



Students or people I have mentored on significant projects are listed here. (H|U|M|D) indicates High School, Undergraduate, Masters, or Doctoral students. ‘*’ indicates ongoing collaboration

In alphabetical order:


Ph.D. in Computer Science from Brown University 2016 - 2021

B.Sc. from the University of Kentucky 2013 - 2016

Honors and Awards


Leo el español mejor de lo que lo hablo.
Traveled to six countries (so far).