Jan Reimann is an Associate Professor of Mathematics at Penn State with nine years in faculty roles and a research focus on mathematical logic, algorithmic information theory, and effective randomness. He earned his PhD from Ruprecht-Karls-Universität Heidelberg, held postdoctoral and early-career positions at UC Berkeley, and has built a steady portfolio of teaching, graduate supervision, and scholarly service. Beyond traditional academia he has a strong interest in E-Learning, developing and teaching online courses for Penn State’s World Campus, and brings practical software/IT experience from earlier roles administering research-group networks. His background blends deep theoretical work with applied instruction—teaching analytics-focused linear algebra and supervising student research—making him comfortable translating abstract concepts into teachable, computationally grounded material.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at Ruprecht-Karls-Universität Heidelberg
Contributions:249 commits, 48 PRs, 225 pushes in 3 years 7 months
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