About
Hi— I’m Louis. I’m passionate about building tools that support education.
I’m currently a product manager at McGraw Hill Higher Education where I lead AI projects such as AI Reader, a generative AI tool that helps learners understand concepts and promotes active reading.
Previously, as an education strategy consultant at Tyton Partners, I advised executives on the edtech market with a focus in AI and adaptive learning. I also worked on research-focused projects like Time for Class: a multi-year study for the Bill and Melinda Gates Foundation, exploring the role of adaptive learning tools in higher education.
Outside of work, I volunteer with the Friends of the Cambridge Community Learning Center to provide scholarships to adult learners pursuing higher education. I’m always eager to talk with others who are passionate about education, AI, and digital learning tools.
Projects & features
SmartCoach AI Sales Coach — released March 2025, side project; we made an AI sales coaching tool built right into Slack, and we piloted it with a salesperson at a car dealership. It was lots of fun hacking it together, but I learned that I wasn’t super passionate about sales training.
Sonar Education AI Podcasts — released September 2024, side project; built a tool that generates AI educational podcasts that are made to be assigned. Right after we “launched,” Google announced their [much much better] version, and we laughed and decided to move on.
McGraw Hill AI Reader — released August 2024, lead product manager: >100K students across the country have used AI Reader >1M times. I showed up to MH with a lot of excitement and this idea became a labor of love— I got it funded, and led every piece of it from design to engineering to GTM, caring an [irrational] amount about it going well. I’m very proud of the work we did and the impact we made on students who use it everyday.
Research, blogs, & presentations
McGraw Hill, Building AI EdTech: Creating Value, Not Hype — November 2024, panelist
MaxEd, Maximizing Learning Conference: The Prevalence of AI in Education — November 2024, keynote presenter
Online Learning Consortium Accelerate, Decoding AI Readiness: A Roadmap for Institutional AI Implementation — October 2023, co-presenter
Education Philanthropy in the Age of AI: 3 Key Questions to Future-Proof Your Philanthropic Strategy — October 2023, first author
Listening to Learners: Increasing Belonging In and Out of the Classroom — September 2023, co-author
GRAILE AI in Higher-Ed Denver: How Can AI be Used for Systemic Change in Higher-ed — July 2023, co-presenter
Investing in AI Edtech: Cutting Through the Hype — June 2023, first author
Peering Past the Hype: K-12 Teacher and Administrator Perspectives on AI in the Classroom — June 2023, co-author
Time for Class 2023: Bridging Student and Faculty Perspectives on Digital Learning — June 2023, co-author
Generative AI in Higher Education: From Fear to Experimentation, Embracing AI’s Potential — April 2023, first author
Time for Class 2022: The State of Digital Learning and Courseware Adoption — July 2022, co-author
Time for Class 2021: The State of Digital Learning and Courseware Adoption — June 2021, co-author
Mentions & citations
Fortune: Textbook giant McGraw Hill sees potential for AI in the classroom—and the risks — January 2025, product highlighted
Top Hat: Harnessing Gen-AI for Evidence-Based Teaching — September 2024, research cited
University of Wisconsin Green Bay: AIS4C: A Panel Report on AI in Higher Education from the Perspective of CIO’s — November 2023, research cited
Forbes: OpenAI and Others Help Educators Navigate AI — September 2023, research cited
Lumina Foundation: What does the future of learning look like? Faculty and students weigh in on new tech tools — August 2023, research cited
Plagiarism Today: The Current State of Detecting AI Writing — July 2023, research cited
Campus Technology: More than Half of Students Will use AI Writing Tools Even if Prohibited By Their Institution — April 2023, research cited
Association of College and University Educators: Preparing for the Future Impact of AI on Higher Education — April 2023, research cited