Jean-Michel Renders is a renowned expert in data mining, machine learning, and text analytics with over 20 years of experience in the fields of Business Intelligence, Customer Care, e-Discovery, and Energy. He has a broad educational background, including a degree in LSG, Accounting and Finance, Management from Solvay Business School, a Doctor of Philosophy (PhD) in Machine Learning/Deep Learning from the Université libre de Bruxelles, and a Master of Engineering (M.Eng.) in Command & Control from the same university.

Renders is passionate about giving value to data by combining multiple sources and multiple modes in which the available information can be expressed. He is particularly interested in solving large-scale problems, either by directly designing easily parallelizable and distributed algorithms or by relying on new parallel computing frameworks such as Spark and Flink.

Renders has held various positions throughout his career, including Group Lead & Principal Scientist at NAVER LABS Corp., Co-Founder at Readar, Principal Scientist at Naver Labs Europe, Principal Research Scientist at Xerox Research Centre Europe, Data Mining Consultant at Business & Decision (Belgium), Functional Analyst/Team leader at Tractebel Energy Engineering, Postdoctoral Researcher at York University, and a Fellowship at the European Commission (Joint Research Center).

With his wealth of knowledge and experience, Renders loves to share his enthusiasm and transfer his knowledge to other people. His professional interests and expertise include Data Mining, Machine Learning, Text Analytics, Business Intelligence, Customer Care, e-Discovery, Energy, and Parallel Computing.