Lukas Pensel

Lukas Pensel serves as a Research Associate at the Institute of Computer Science, Johannes Gutenberg University Mainz, specializing in data mining and machine learning applications. His work spans biomedical domains, computational sustainability, and educational data analysis within the university's Data Mining Group.

His research focuses on developing neural network architectures for structured data, with emphasis on explainable AI systems and multi-relational data mining techniques. Current projects include curATime, DIASyM (Data-Independent Acquisition-based Systems Medicine), Emergent AI, and TOPML (Trading off Non-Functional Properties of Machine Learning) funded by the Carl-Zeiss-Stiftung.

• Scientific Awards:
• DAAD Scholarship
• Humboldt Research Fellowship
• PRIME Research Scholarships
• Studienstiftung des Deutschen Volkes

As an active contributor to the academic community, Pensel serves as (co-)reviewer for premier conferences including IEEE ICDM (2018, 2021), ECML/PKDD (2020), and ACM SIGKDD (2020, 2021). His research integrates with university initiatives like the Center for Computational Sciences and RMU Network, focusing on practical applications in bioinformatics, medical data mining, and predictive toxicology through frameworks such as enviPath and OpenRiskNet.