CV

Professor of Data Science, Mathematics, and Information Systems. Program Director of the master's program "Digital Business and Innovation Management" (DigiBIM). Member of the faculty council. Chair of an appointment committee.

Responsible for people and strategy in an interdisciplinary institute. Supports members in acquiring research projects. Leads consulting projects and executive education formats for companies.

Responsible for statistics lectures in the IHK degree program.

AI competence training for companies implementing the EU AI Act (Art. 4 AI Act). Combines technological and legal expertise in an interdisciplinary founding team.

Built a supply chain collaboration platform with two co-founders. Led to a Series A round, growth to 60 employees and 3,000 monthly active companies. Built and led the analytics team. Current focus: generative AI and analytics on the platform.

Co-founded with two partners. Led data scientists and data science projects. Currently serves on the advisory board.

Supported the development of algorithms for anti-money-laundering detection from banking transaction data. Co-built the data platform for transaction processing.

Started in the Advanced Analytics team, then served as expert and project manager in the Marketing & Sales Practice. Supported international clients in transforming into data-driven organizations. Developed and implemented ML-based solutions for business challenges.

Research on statistical models with non-ignorable missing data. Contributed to proposal and extension work for Collaborative Research Center 823 "Statistics of Nonlinear Dynamic Processes". Teaching in mathematical statistics, time series analysis, nonparametric statistics, and business statistics.

Responsible for lectures, tutorials, and exams in statistics.

Dissertation: "Statistical Models with Non-Ignorable Missing Response Variables and Application to Reject Inference." Grade: very good. Supervisors: Prof. Dr. Walter Krämer, Prof. Dr. Claus Weihs.

Diploma thesis: "Local Classification of Discrete Data." Grade: 1.2. Supervisors: Prof. Dr. Claus Weihs, Prof. Dr. Jörg Rahnenführer.