Summary
Wissam Siblini is a Staff Machine Learning Engineer based in Greater Lyon with 8 years of experience bridging applied research and production ML at companies like Komodo Health and Worldline. He holds a PhD in Computer Science and an engineering background in applied mathematics, and has driven research-to-product work across fraud detection, NLP (conversational interfaces and QA), computer vision for medical imaging, and extreme multi-label learning. At Worldline he combined research, patenting, and mentoring with roadmap and technical advisory responsibilities, and at Komodo he now focuses on scaling ML solutions in health analytics. His track record includes publications and conference presentations (ICML among them) and supervising interns and PhD students, reflecting both deep technical rigor and people leadership. Notably, his career spans domains from thermo-mechanical modelling at Michelin to high-dimensional ML algorithms, showing a talent for translating mathematical insight into practical systems.
8 years of coding experience
11 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Nantes Université
Engineering degree Applied Mathematics, Engineering degree Applied Mathematics at Centrale Nantes
Master 2 (M2) Mathématiques en action, Master 2 (M2) Mathématiques en action at Université Claude Bernard Lyon 1
Last year of engineering course Applied Mathematics, Last year of engineering course Applied Mathematics at Centrale Lyon
French, English