Gordon Weinberg

Gordon Weinberg is a Lecturer in the Department of Statistics & Data Science at Carnegie Mellon University, affiliated with the Dietrich College of Humanities and Social Sciences. He specializes in statistical pedagogy and educational research, with a focus on integrating AI and writing into data science instruction.

His research explores the use of automated feedback systems like DocuScope Write & Audit, causality diagrams, and large language models (LLMs) in enhancing statistical reasoning and writing. He has co-authored multiple studies on these topics, including a 2025 PNAS publication.

Scientific Awards:

• Elliot Dunlap Smith Award for Distinguished Teaching and Educational Service (2025)
• CMU Interfraternity Council and Panhellenic Council Award for Mentorship (2012)
• People's Choice Award for Poster Presentation (2018)

He has advised undergraduate research projects on depression risk factors, family dynamics in science, and data repository development. Weinberg has also received grants for AI-enhanced writing tools (2024–2026) and causality diagram integration (2020–2021).