Peter Scheiblechner

Peter Scheiblechner is a Lecturer at Lucerne University of Applied Sciences and Arts' School of Engineering and Architecture, within the Department of Natural and Humanities Sciences (ING). He holds a PhD in Mathematics from the University of Paderborn (2007) and has held academic positions including Visiting Assistant Professor at Purdue University (2010-2011) and Postdoc at the Hausdorff Center for Mathematics (2011-2012). His business experience includes software development roles at companies like ClassWare GmbH and UBS in Switzerland.

Education:

• PhD in Mathematics, University of Paderborn (2007)
• Master's in Mathematics (minor: Physics), Albert-Ludwigs University Freiburg (1997)
• Bachelor's in Mathematics (minor: Physics), Philipps-University Marburg (1993)
• High School Diploma, Martin-Luther-Schule Marburg (1991)

Research Interests: Focus on applying statistics, data analysis, and machine learning to real-world problems; computational algebra/geometry/topology with complexity theory; algebraic and classical complexity theory. Active in projects like ENFLATE (flexibility markets), COSMOS Data Cockpit (personalized medicine), and topological data analysis.

Publications: Over 10 peer-reviewed articles in journals like Journal of Symbolic Computation, Foundations of Computational Mathematics, and Communications in Contemporary Mathematics, with focuses on algorithmic algebraic geometry, complexity analysis, and topological computations.

Awards: DFG fellowship (2008-2010), 3rd place in German Mathematics Competition (1991), and regional championship in Hessen (1985/86).

Teaching: Teaches mathematics, physics, statistics, and numerical methods at bachelor and master levels, including courses on differential equations, linear algebra, stochastic processes, and engineering applications.