Kai Yao

My name is Kai Yao, and I am currently a PhD candidate in the School of Informatics at the University of Edinburgh, under the mentorship of Dr. Marc Juarez. My research focuses on secure and trustworthy machine learning, encompassing areas such as security, privacy, and fairness in artificial intelligence systems.

I began my academic journey at Fudan University, where I earned my Bachelor’s degree. I then pursued a Master’s degree at Johns Hopkins University, concentrating on AI applications in bio-science. Professionally, I have contributed as an AI frameworks engineer at Intel and as an AI algorithm engineer at Huawei. Beyond my professional endeavors, I am passionate about exploring the ethical dimensions of AI and advocating for responsible technology development in this rapidly evolving field.

News

• I gave a speech about our work SoK: What Makes Private Learning Unfair? at IEEE SaTML 2025 in Copenhagen, Denmark.

• Our paper SoK: What Makes Private Learning Unfair? has been accepted at the 3rd conference of IEEE Secure and Trustworthy ML (SaTML’25)! The preprint version is available on arXiv here.