Yujia is a PhD candidate under the supervision of Dr. Silvana Pesenti. He holds an MSc in Pure Mathematics from the University of Toronto, with a specialization in algebraic geometry and number theory. Prior to focusing on financial risk management, Yujia conducted research on data and model privacy issues related to the training and development of deep learning models. His current research interests include developing numerically efficient quasi-explicit methods for quantifying risks and uncertainties. Additionally, Yujia is well-versed in financial market practices and has a proven track record as a successful trader. For more information, please visit his website.

Email: yujia[dot] yin [at] mail [dot] utoronto [dot] ca