Yingke Wang

Yingke Wang is a Graduate Student Researcher at Vector Institute since May 2022, specializing in developing algorithms to enhance accuracy in Differential Privacy and Compression. Prior experience includes serving as a Research Assistant at the University of Toronto, a Software Engineer at ODAIA, and a Teaching Assistant at University of Toronto - University of St. Michael's College. Additionally, Yingke contributed as an Assistant Academic Mentor and Junior Academic Associate at Easy Group Inc. Yingke holds a Bachelor's degree in Mathematics and Computer Science from the University of Toronto (2018-2023) and is currently pursuing a Master of Mathematics in Computer Science at the University of Waterloo (2023-2025).