I specialize in machine learning, helping companies unlock the potential of their data to drive innovation. At Sirris, I focus on applying advanced machine learning techniques to solve complex problems, with an emphasis on anomaly detection, image processing, and signal disaggregation. Whether you're facing a challenging data problem or exploring innovative solutions, I'm ready to collaborate and find actionable ways to create value for your business.
Expertise
- Machine learning and artificial intelligence
- Fraud detection and anomaly detection
- Images and signal processing
- Predictive analytics for business strategy
Work experience
I started my career with over a decade of experience in data science and machine learning, initially at Worldline, where I focused on developing credit card fraud detection systems using machine learning techniques. I later worked at Orange Belgium as Lead Data Scientist, managing projects such as churn detection and optimizing customer engagement strategies. At Levi’s Europe, I led data science initiatives to enhance supply chain efficiency. Now at Sirris, I continue to drive machine learning research while collaborating with businesses to solve their most pressing data challenges.
Studies
- Master’s in computer science - ULB (2004)
- PhD in machine learning - ULB (2009)
- Master’s in statistics - UCLouvain (2018)
Professional motto
“I believe in evidence, not faith—unless we're talking Bayesian updates.”
Fun fact
Outside of my professional life at Sirris, I love sharing my knowledge through teaching. You can find me at ULB and ECAM giving courses on machine learning and deep learning. I'm co-author of more than 45 peer-reviewed scientific papers and co-author of the book "Developing Apps with GPT-4 and ChatGPT" published by O'Reilly Media.