Rayk Kretzschmar

I'm part of the Institute for Data Sciences in the Machine Learning group, focusing on Explainable AI. My responsibilities involve exploring innovative approaches to make AI more understandable and transparent. By working on cutting-edge projects, I contribute to enhancing the interpretability of AI models, ensuring they are both effective and accountable. My role encompasses both research and practical application, aiming to bridge the gap between complex AI algorithms and their real-world implications.

I and the team were tasked with the comprehensive management of the Atlassian Stack, including Confluence, Jira, and associated extensions. Part of my role was to adjust the platform to meet internal needs. I also monitored third-party system transitions and processed data generated through the appropriate APIs.

Bioinformatik ist eine interdisziplinäre Wissenschaft, welche Informatik und Biologie verbindet. Als Bioinformatiker wende ich Theorie und Praxis der Informatik auf biologische Probleme und Fragestellung an. Anwendungs-Beispiele sind: - Gensequenzierung - Phylogenie - Algorithmische Massenspektronomie - Metabolik