Summary
Louis Dorard is a seasoned product and solutions leader with 14 years of experience turning machine learning research into practical business impact, currently accelerating data-to-value at Dataiku through prepackaged Business Solutions like process mining, demand forecasting and entity resolution. A former founder of OWNML and PAPIs.io, he has trained 500+ practitioners and organized global conferences that bridge academia and industry, demonstrating rare fluency across R&D, education, and productization. His PhD work on bandit algorithms and Gaussian Process tree search underpins a pragmatic approach to complex optimization problems in production ML. Comfortable both leading product strategy and shipping no-code interfaces that embed decision suggestions into workflows, he excels at bringing ML into everyday enterprise use, particularly for SMEs and cloud-first deployments. Based in Bayonne, France, he combines entrepreneurial grit, academic rigor and a talent for turning innovative prototypes (including patented real-estate tech) into commercially adopted solutions.
14 years of coding experience
11 years of employment as a software developer
Ingénieur Computer Science Applied Mathematics, Ingénieur Computer Science Applied Mathematics at National School of Computer Science and Applied Mathematics of Grenoble
University College London
Musical harmony and composition, Musical harmony and composition at Conservatoire National de Région Grenoble
DEUG MIAS Mathematics Physics, DEUG MIAS Mathematics Physics at Paris-Sud University (Paris XI)
Classes préparatoires Mathematics Physics Chemistry, Classes préparatoires Mathematics Physics Chemistry at Institution Sainte Marie
English, French, Spanish, German