Shengjie started his master's degree in the Department of Mechanical & Industrial Engineering at the University of Toronto in September 2021. He completed his bachelor's of science degree at the University of Toronto with a specialist in Statistic Science, a minor in Computer Science and a minor in Mathematics. His research interests include machine learning, optimization, and data analysis. Along with the role in AIJ Lab, he also has a research project direction in optimal decision trees with professo Eldan Cohen.