Souhaib Ben Taieb is an Associate Professor of Machine Learning at the University of Mons (UMONS) in Belgium, where he leads the Big Data and Machine Learning Lab . His research spans machine learning, artificial intelligence, time series forecasting, uncertainty quantification, temporal point processes, and anomaly detection.

Previously, he served as a Lecturer in the Department of Econometrics and Business Statistics at Monash University in Australia. Souhaib holds a B.Sc and M.Sc in Computer Science from the Free University of Brussels (ULB) and earned his Ph.D. specializing in machine learning from ULB under the supervision of Prof. Gianluca Bontempi (ULB) and Prof. Rob Hyndman (Monash University), supported by a Doctoral research fellowship from the Belgian National Fund for Scientific Research. He worked as a postdoctoral research fellow in the Spatio-Temporal and Data Science Group at KAUST under the supervision of Prof. Marc G. Genton . Souhaib received the Solvay Award for his Ph.D. thesis, and he has successfully obtained various research grants both within academia and in collaboration with industry. He is an Associate Editor of the International Journal on Forecasting and serves as a reviewer for esteemed machine learning conferences such as NeurIPS, ICML, ICLR, AISTATS, and KDD.