Overview

I’m an artificial intelligence researcher and entrepreneur whose primary goal is to provide quality education to all students worldwide. In addition to core technical competencies in AI and software, I’ve cultivated soft skills in leadership, client development, and communication.

Vision

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.

Company

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. We are now working with multiple national organizations to deliver and improve financial literacy education at scale. Our efforts have been recognized by multiple non-profits and by the state treasurer.

FinLitRI.org Trophy

Other Business Experience

I’ve consulted on applications of AI for Speedio in Brazil, Special A Education in China, and several organizations in the US. I’m a board member of the Franklin Center For Innovation (FCFI).

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.

Dissertation

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

Video Course

I created the video course “Hands-On Artificial Intelligence for Small Businesses”, published through Packt. This course covers several main types of machine learning, and each section discusses a common business problem that can be solved using a technique from the course, including everything from understanding your customers better to making automated recommendations that improve over time. This course also introduces artificial neural networks, t-SNE embeddings, and Thompson sampling for multi-armed bandit processes.

Other Experience

Math Expertise

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

Software Competencies

Teaching

Students/Mentees

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:

Education

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

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

Honors and Awards

Miscellaneous

Leo el español mejor de lo que lo hablo.
我正在学习一些中文。
Traveled to six countries (so far).