Mohammad-Javad Darvishi-Bayazi

MJ is a PhD student at Mila and the University of Montreal (UdeM), working under the supervision of Jocelyn Faubert and Irina Rish. MJ’s research focuses on robustness and transfer learning in artificial intelligence, with recent work evaluating and developing foundation models and time series forecasting. He has dedicated his academic career to exploring the intricacies of AI, aiming to develop models that are not only advanced but also reliable and adaptable. MJ’s contributions to the field are poised to make significant impacts on both theoretical research and practical applications in AI and cognitive science.