Humboldt-Universität zu Berlin - School of Business and Economics

Email: malteleuschner@gmx.de

Office hours: by appointment

Short-Bio

Malte Leuschner is a Freelance Product Manager and PhD Candidate at Humboldt-Universität Berlin since 2022. He holds an M.Sc. in Information Systems from Humboldt-Universität zu Berlin and dual B.Sc. degrees in Business Administration and Economics from Christian-Albrechts-Universität zu Kiel. His academic focus is integrating modern Machine Learning into traditional credit risk analytics, specifically in Probability of Default estimation and transfer learning.

In his professional journey, Malte served as a Product Owner at Porsche Digital, optimizing manufacturing processes by fostering the application of optimization and machine learning. He has diverse experience, from research analysis in banking and data science in Berlin's FinTech sector to strategy consulting with BCG, showcasing his multidisciplinary expertise and interest. Malte is passionate about bridging technology and business, applying academia to industry

 
Research Interests

- Credit risk analytics
- Transfer learning for tabular data
- xAI for credit risk
- Survival curves with Deep Learning