Alina Geiger

Alina Geiger is a Researcher at the Chair of Business Informatics within the Faculty of Law and Economics at Johannes Gutenberg University Mainz. She currently serves as a research assistant and supervises final theses and seminar papers. Her expertise lies in Genetic Programming (GP), Genetic Improvement (GI), Machine Learning, and Deep Learning.

Education:

• Master of Science in Management (2020-2023, JGU Mainz)
• Bachelor of Science in Economics (2017-2020, JGU Mainz)

Research Interests: Alina’s work focuses on advancing evolutionary algorithms like Genetic Programming and Genetic Improvement, particularly leveraging machine learning techniques. She explores applications in symbolic regression, software evolution, and algorithmic optimization. Her recent studies investigate the integration of large language models (LLMs) to enhance mutation operators in genetic improvement and evaluate explainability in AI-generated software patches.

Teaching: Since 2022/23, she has taught 'Introduction to IT' courses and oversees student research projects. Her academic contributions reflect a strong emphasis on bridging theoretical advancements with practical software engineering challenges.