Alexander Stevens
Scholar

Alexander Stevens

Google Scholar ID: fNeFT5EAAAAJ
KU Leuven
ExplainabilityFairnessRobustnessManifold LearningCounterfactual Explanations
Citations & Impact
All-time
Citations
200
 
H-index
6
 
i10-index
5
 
Publications
12
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 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
Co-authors
0 total
Co-authors: 0 (list not available)