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Assistant Professor of Computational Social Science

Personal Details

Lucas Böttcher is an Assistant Professor for Computational Social Science at the Frankfurt School of Finance & Management.
Lucas received his PhD in applied mathematics and computational physics from ETH Zürich in 2018. Prior to his appointment at Frankfurt School, he worked as a Lecturer at the Institute for Theoretical Physics and as a postdoctoral researcher in the Macroeconomics, Innovation, and Policy group at ETH Zürich. In 2020, he joined the Departments of Computational Medicine and Mathematics at UCLA as a research scientist and fellow of the Swiss National Fund. Lucas has also worked in the private sector as a computational scientist in the Digital Solutions Group of the Leoni AG.
His research utilizes advanced computational and analytical methods to tackle real-world problems in the social sciences, medicine, and biology. Examples of applied research topics include epidemic processes, political polarization, and the rapid rise of antibiotic resistance. In addition, his research addresses fundamental questions in applied and computational mathematics, statistical mechanics, and machine learning. In this line of research, he focuses on (i) modeling and control of high-dimensional stochastic processes and dynamical systems, (ii) developing network analysis methods, and (iii) developing data assimilation schemes to combine mechanistic models and empirical data in the social and biological sciences.
His research was featured in the Wall Street Journal, the Coronavirus (COVID-19) Collection of the American Physical Society, ETH and UCLA news, and in KPCC’s AirTalk with Larry Mantle. The European Parliament mentioned parts of Lucas’ work in a policy report.


Scholarly journal articles / Journal articles

Monographs / Contributions to edited volumes


Titel Studiengang Semester  
Machine Learning


Introduction to Data Analytics in Business Master Winter

Numerical Analysis of Dynamical Systems

Master Winter