The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry. - Sam Lau; Ian Drosos; Julia M. Markel; Philip J. Guo (VL/HCC, 2020)

TweakIt: Supporting End-User Programmers Who Transmogrify Code. - Sam Lau; Sruti Srinivasa Ragavan; Ken Milne; Titus Barik; Advait Sarkar (CHI, 2021)

The Challenges of Evolving Technical Courses at Scale: Four Case Studies of Updating Large Data Science Courses. - Sam Lau; Justin Eldridge; Shannon Ellis; Aaron Fraenkel; Marina Langlois; Suraj Rampure; Janine Tiefenbruck; Philip J. Guo (L@S, 2022)

How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies. - Sam Lau; Deborah Nolan; Joseph Gonzalez 001; Philip J. Guo (SIGCSE (1), 2022)

Codehound: Helping Instructors Track Pedagogical Code Dependencies in Course Materials. - Sam Lau; Philip J. Guo (SPLASH-E, 2022)

Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor. - Sam Lau; Sean Kross; Eugene Wu 002; Philip J. Guo (DataEd@SIGMOD, 2023)

From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot. - Sam Lau; Philip J. Guo (ICER (1), 2023)

How Instructors Incorporate Generative AI into Teaching Computing. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Virginia Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (ITiCSE (2), 2024)

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Vee Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (ITiCSE-WGR, 2024)

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Vee Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (CoRR, 2024)

"I'm not sure, but...": Expert Practices that Enable Effective Code Comprehension in Data Science. - Christopher Lum; Guoxuan Xu; Sam Lau (SIGCSE (1), 2025)

How Novices Use Program Visualizations to Understand Code that Manipulates Data Tables. - Ylesia Wu; Qirui Zheng; Sam Lau (SIGCSE (1), 2025)