We are a dedicated team of talented people that is shaking up the AI world. In a certain sense, we are iconoclasts: we don't fully subscribe to the current hype about Machine Learning and believe that the future of AI lies in the hybridization of ML and OR. At the same time, we are also respectful of a certain mathematical tradition: analytic tools are the way to go and ML is there to stay. Combined with OR.
Dr. Michel Gendreau is full Professor of Operations Research at the Department of Applied Mathematics and Industrial Engineering of École Polytechnique de Montréal (Canada), where he holds the NSERC/Hydro-Québec Chair on the Stochastic Optimization of Electricity Generation. Dr. Gendreau has published more than 350 papers on these topics in peer-reviewed journals and conference proceedings. He is also the co-editor of six books dealing with transportation planning and scheduling, as well as with metaheuristics. Dr. Gendreau was the Director of the Centre for Research on Transportation (formerly CRT and now CIRRELT) from 1999 to 2007. He completed his 6-year term as Editor in chief of Transportation Science at the end of 2014. In 2001, he received the Merit Award of the Canadian Operational Research Society in recognition of his contributions to the development of O.R. in Canada. He was elected Fellow of INFORMS in 2010. In 2015, Dr. Gendreau received the prestigious Robert Herman Lifetime Achievement Award of the Transportation Science & Logistics Society of INFORMS.
Dr. Ángel Corberán is Professor of Statistics and Operations Research at the Faculty of Mathematics of the University of Valencia (Spain). He has published close to 100 papers in combinatorial optimization and is Coordinating Editor of Computational Optimization and Applications, and member of the Editorial Board of Computers & Operations Research, the EURO Journal on Transportation and Logistics, and the EURO Journal on Computational Optimization. His research interests concern the study and solution of combinatorial optimization problems, mainly in the routing and location areas.
Dr. José María Sanchís Llopis is Full Professor at the Department of Applied Mathematics of Polytechnic University of Valencia. He has published over 60 papers in peer-reviewed journals and conference proceedings, essentially about Arc Routing Problems in Operations Research.
I hold an MSc in pure mathematics, an MSc in theoretical computer science and a PhD in applied mathematics and industrial engineering. I've been solving complex industrial problems for more than 25 years while working with small, mid sized and big companies (Google, Juniper Networks). Recently, I cofounded Funartech, a young Montreal startup that specializes in providing creative solutions to industrial problems by combining machine learning and operations research (applied mathematics). This entrepreneurial adventure leads me to work on challenging problems such as climate change or a hybridization of machine learning and operations research that might lead to real intelligence. Occasionnaly, I'm a father, a husband, a dancer, an actor and a singer.
I hold a PhD in Computer Science. My expertise is in Computational Geometry. I enjoy every bit of being an entrepreneur and helping create and launch Funartech. I'm passionate about the environment and committed to working on projects that have a positive environmental impact. My other passions include raising a child, literature, gardening and dancing.
Romain Gagnon has held senior executive positions in many companies in the primary (Champagnon), secondary (Smart Rain, Inéwa, Eklipse) and tertiary (DynaVision, Netmail) sectors. This vast experience gives Romain his main competitive advantage, which is an objectivity and a distance that allow him to develop innovative strategies that go beyond the conventional thinking of the industry.
I hold a M.Sc in Applied Mathematics (biomathematics) and a B.Eng in Physics Engineering. I started a PhD in Biomedical Engineering and published a research article. I quit my PhD and switched to personal studies in Deep Learning after I realized neural networks were finally (kind of) successful. My speciality at this time was mainly the modeling and the analysis of complex systems in computational biophysics/neurosciences. When I first enrolled in maths, it was in the hope to understand the most complex phenomena: Life and Cognition (in some generalized sense that also includes all forms of AI ). More recently, I have studied applied AI, a lot of computer science “stuffs” and some discrete optimization by myself in order to solve more practical complex problems and hopefully have a concrete positive impact on the world. Funartech is an awesome opportunity to work on both goals. I am also fond of philosophy of science, linguistics, cognitive psychology, electronics, music etc.
Having completed a Civil engineering bachelor at the Polytechnic of Montreal in 2017, I have been pursuing new and exciting challenges ever since. I worked in the construction field for some time before graduating and what I found just wasn't what I was looking for. It was at that moment that I started familiarizing myself with Machine Learning and during the process met Nikolaj, founder of Funartech. Being part of the Funartech team enabled me to reach new heights in the field and exploring new ones such as Operational Research.