Souhaib Ben Taieb is an Associate Professor at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, United Arab Emirates. His research interests encompass a wide range of topics within artificial intelligence and statistics, including probabilistic machine learning, deep learning, uncertainty quantification, time series analysis and forecasting, anomaly detection, forecast evaluation, and scoring rules.

Souhaib holds a B.Sc and M.Sc in Computer Science from the Free University of Brussels (ULB) in Belgium. After completing his PhD thesis in Machine Learning at ULB, Souhaib undertook a postdoctoral research fellowship in the Spatio-Temporal Statistics and Data Science group at KAUST in Saudi Arabia for nearly a year. Subsequently, he served as a lecturer (equivalent to Assistant Professor) in Business Analytics in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia, for three and a half years. He then became an Associate Professor of Machine Learning at the University of Mons (UMONS) in Belgium, where he led the Big Data and Machine Learning Lab for six years.

Souhaib has successfully obtained various research grants both in academia and through industry collaborations, including joint research with Huawei, John Cockerill, and Ion Beam Applications. He received a Doctoral Research Fellowship from the Belgian National Fund for Scientific Research and was awarded the Solvay Award for the best Ph.D. thesis. Currently, he is an Associate Editor of the International Journal on Forecasting and regularly reviews for leading machine learning conferences and statistics journals.