Jean-François is currently the technical lead for IBM Machine Learning and Optimization offerings. He holds a PhD in machine learning from Paris IX University and has spent his entire career turning scientific ideas into innovative software. Jean-Francois joined IBM as part of the ILOG acquisition and since then has held various technical executive positions, including CTO for IBM Analytics Solutions. While with ILOG, he helped establish the company as a market leader in mathematic optimization with his work on constraint programming for CPLEX, which was acquired by ILOG. ILOG and CPLEX collectively are now known as IBM Decision Optimization.
Jean-François has a strong background in mathematics. He is an alumni of Ecole Normale Supérieure de Paris Ulm and has published over 60 scientific papers in refereed journals and international conferences with peer reviews. He is passionate about turning scientific ideas into innovative software that is as powerful as it is easy to use. He is also passionate about evangelization of scientific and technical ideas via his blog and social media. You can reach him via Twitter or LinkedIn.