Aijun Zhang

Aijun is the Head of Machine Learning and Validation Engineering within Model Risk Management at Wells Fargo. His expertise spans Artificial Intelligence, Machine Learning, Data Science and Statistics, and Model Risk Management. A notable achievement is his co-creation of PiML (Python Interpretable Machine Learning), which supports transparent and interpretable AI solutions. He has published over 40 papers in professional journals and conferences, covering topics in interpretable machine learning, data science, and statistics. Previously, Aijun served as a Professor of Statistics at The University of Hong Kong.