Senior Software Engineer @ ADI
M.S. Data Science
B.A. Computer Science
Engineer, problem solver, and tech enthusiast with industry experience at the intersection of software and machine learning. Passionate about building data-driven solutions.
LinkedIn Profile | GitHub Profile
Navigate to: Projects | Publications, Presentations, Posters | Resume
The Saving Face app alerts users when they touch their faces and provides a low-cost solution to reduce hand-to-face transmission of COVID-19.
Keywords: Machine learning, data science, research, signal processing
More: Video, Project Website, Open Source Code
Minerva Analysis equips type I diabetics with tools to regulate their blood glucose levels and improve their health outcomes.
Keywords: Data science, full-stack development
More: Project Website
The AI Fairness 360 toolkit is an open source library to detect and mitigate bias in machine learning models throughout the AI lifecycle.
Keywords: Trustworthy AI, data science, R package development
More: Project Website, Open Source Code, Documentation
The search engine “nutrition label” is a browser extension that helps users distinguish credible from suspect media sources.
Keywords: Data Science, research, web scraping
More: Press
The ALGRTHM project produces computer vision algorithms to effectively distinguish and classify different editions of pokemon cards.
Keywords: Machine learning, computer vision
More: Report
The COVID-19 Tracker is a dashboard that enables users to visualize the latest trends in COVID-19 cases and deaths across the United States.
Keywords: Data visualization, dashboarding, R Shiny
More: Dashboard, GitHub Code
Rojas, C., [et al., including Van Tuyl, M.], “A Scalable Solution for Signaling Face Touches to Reduce the Spread of Surface-based Pathogens.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 5, no. 1, 2021, pp. 1-22.
Arumainayagam, C., [et al., including Van Tuyl, M.], “Detection of Methoxymethanol as a Photochemistry Product of Condensed Methanol.” Monthly Notices of the Royal Astronomical Society: Letters, vol. 485, no. 1, 2019, pp. 19-23.
Van Tuyl, M., & Palani, S. “Spicelake: A Reusable Edge-to-Cloud System.” Conference presentation presented at ADI Global Technical Conference, Boston, MA, April 2025.
Van Tuyl, M., & Kuzina, E. “Both Sides of the Hiring Process: Perspectives from a Software Engineering Manager and a Recent Hire.” Conference presentation presented at Grace Hopper Celebration, Orlando, FL, September 2023.
Van Tuyl, M. “Saving Face: A Gesture Recognition Application to Fight the Spread of COVID-19.” Conference presentation presented at Wellesley College Ruhlman Conference, Wellesley, MA, May 2021.
Van Tuyl, M., & Kawakami, A. “Googling the News Source: What Users Want to Know When Assessing Credibility.” Conference presentation presented at Wellesley College Ruhlman Conference, Wellesley, MA, May 2019.
Van Tuyl, M. “Machine Learning for Gesture Recognition to Reduce COVID-19 Transmission.” Poster session at UMass Amherst Voices of Data Science Conference, Amherst, MA, February 2021.
Van Tuyl, M. “‘Don’t Touch Your Face’: Designing A Scalable Mobile Technology to Support the Fight Against COVID-19.” Poster session at Harvard National Collegiate Research Conference, Cambridge, MA, January 2021.
Van Tuyl, M. “Credibility in the Age of Misinformation: How Internet Users Assess Website Credibility.” Poster presentation at Wellesley College Science Center Summer Research Program, Wellesley, MA, August 2019.
Van Tuyl, M., Zhang, C., & Arumainayagam, C . “First Detection of Methoxymethanol as a Photolysis Product of Methanol.” Poster presentation at the Annual Northeast Student Chemistry Research Conference, Boston, MA, April 2018.