Dr. Murat Erdogdu

Biography

Murat Erdogdu is an Associate Professor at the University of Toronto, where he is affiliated with the Department of Computer Science and the Department of Statistical Sciences. He is a faculty member of the Machine Learning Group at the Vector Institute and holds a CIFAR Chair in Artificial Intelligence. Erdogdu completed his Ph.D. in Statistics at Stanford University, where he also obtained a Master of Science degree in Computer Science. His research focuses on a variety of topics within machine learning, including machine learning theory, high-dimensional statistics, optimization, and sampling. He has contributed significantly to understanding the dynamics of learning algorithms, particularly in high-dimensional settings, and has published research on quadratic neural networks as well as robust feature learning in multi-index models. Erdogdu's research work is influential, often addressing fundamental questions in statistical learning and optimization in machine learning contexts. He has been recognized for his contributions through various academic positions and collaborations, including his postdoctoral research at Microsoft Research - New England.

Research Interests

Experience