Dr. Abdoul Haki is a Statistician and Financial Economist with over 7 years of research experience. His expertise spans computational statistics, Hidden Markov Models, statistical inference, neural networks, and reinforcement learning. He holds a Ph.D. in Statistics from the University of Montreal and specializes in forecasting models, big data, and financial econometrics.

Mohamed Maftah, a PhD candidate in Operations Research at Polytechnique Montréal, specializes in mathematical modeling, optimization, and AI algorithms. With extensive experience in solving complex operational challenges, he plays a key role at Quantolio, leveraging his expertise to drive systems innovation and optimization​..

Dr. Lokman Sboui, a professor at ÉTS Montreal and expert in 5G/6G networks, AI algorithms, and IoT systems, serves as a key advisor at Quantolio. With a PhD in Electrical Engineering from KAUST, he brings cutting-edge research and practical expertise to enhance Quantolio’s  solutions, helping drive innovation in systems engineering and optimization​​.

Dr. Mahmud AlOsta is a Postdoctoral Fellow at École de technologie supérieure (ÉTS), with expertise in IoT, edge computing, and the semantic web. His research focuses on data analysis and machine learning applications. He is dedicated to developing innovative solutions that bridge the gap between data and intelligent decision-making.

Patrick Kelendji is a graduate student at MILA, pursuing a Master’s in Computer Science with a focus on Machine Learning. With experience in risk analysis, derivatives trading, and actuarial science, Patrick brings a strong background in data-driven decision-making. He is passionate about applying quantitative methods and programming to solve complex financial and operational challenges.