Lars Hillebrand

- Project management for the development and integration of a generative AI solution, including a web application for efficient legal document analysis in a large German law firm. - Leadership of the "Automated List Inspection (ALI)" project for the development and implementation of an AI-based recommender system to increase efficiency and quality in the annual audit at PricewaterhouseCoopers GmbH

- Development of KPI-BERT and KPI-Check, an AI system for the automatic extraction and linking of Key Performance Indicators (KPIs) and the subsequent check of their consistency in German financial reports. - Design and realization of sustain.AI, a context-sensitive recommender system for efficient analysis of sustainability reports based on the legal requirements of the Global Reporting Initiative (GRI).

Elite M.Sc. program with a highly quantitative focus, including mandatory PhD courses in Economics and Finance. I customized the degree by choosing additional electives in Machine Learning and Bayesian Econometrics at Copenhagen University.

Quantitative and research oriented B.Sc laying the theoretical and mathematical foundations in Economics. I specifically focused on Advanced Corporate Finance and Game Theory by taking them as electives.