Published 11 peer-reviewed papers in top-tier venues and led multiple award-winning data science projects.
Research Experience
Over 5 years of experience translating cutting-edge research into applied AI solutions across finance and healthcare. Currently working at ML6 on: Implementing end-to-end agentic AI workflows in real-world financial data pipelines; Automating financial calculations using generative AI, reducing processing time from months to minutes; Building scalable AI solutions on major cloud platforms (Azure/GCP).
Education
PhD: KU Leuven, Research Centre for Information Systems Engineering (LIRIS), Specialization: Trustworthy AI Systems, Time: Recently completed.
Background
Machine Learning Engineer | PhD in Trustworthy AI. A Machine Learning Engineer at ML6, developing agentic AI workflows and scalable AI solutions for financial services. Recently completed his Ph.D. at the Research Centre for Information Systems Engineering (LIRIS) at KU Leuven, focusing on trustworthy AI systems for business process analytics. Passionate about building AI solutions that deliver measurable business impact while maintaining trust, explainability, and fairness.
Miscellany
Contact: alexander.stevens@telenet.be, Location: Leuven, Belgium, LinkedIn, GitHub, ORCID, Google Scholar