Peter Kramlinger

Peter Kramlinger is affiliated with the University of California, Davis, specifically within the Department of Statistics under the College of Letters and Science. He is actively involved in teaching and developing course materials for undergraduate and graduate-level statistics and data science courses.

• University: University of California, Davis
• School: College of Letters and Science
• Department: Department of Statistics
• Role: Lecturer

His research and instructional interests center on modern statistical computing, Bayesian methods, and data science education. He emphasizes computational tools and reproducible workflows in teaching.

The recent course repositories and tutorials reflect a strong focus on practical data analysis, with an emphasis on MCMC methods, statistical programming, and large-scale data processing. These materials span topics in both foundational and advanced data science, indicating a commitment to evolving pedagogical practices in statistics.

Although no formal scientific awards are listed, his open-source contributions to educational materials demonstrate scholarly engagement and a dedication to accessible learning resources.

Peter Kramlinger advises no listed students, but his instructional role suggests mentorship of students through coursework. There is no mention of external grants or funded research projects in the available data.

He maintains an active GitHub presence with publicly shared teaching materials, indicating participation in open academic communities and collaborative learning environments.