I am a postdoctoral fellow at the Hong Kong University of Science and Technology (Guangzhou). I received my Ph.D. degree in Computer Science from Cornell University. At the crossroads of cutting-edge technology and transformative education, my research expertise is situated within the dynamic domains of Privacy-Enhancing Technologies and E-Learning. In the realm of privacy, I study advancements in the theory of private computing protocols, while also enhancing the usability of privacy-preserving technologies to aid businesses in navigating data protection regulations. My efforts in education innovation revolve around creating immersive e-learning experiences that cultivate engagement. My research has been published at prestigious CS conferences such as ACM CHI, ACM ASSETS, ACM CCS, and IEEE S&P. I am dedicated to driving innovation in the theory and usability of privacy-enhancing technologies and e-learning, with the ultimate goal of creating seamless, secure, and engaging digital experiences.
For more details, visit my personal webpage: https://zkwen.site/