Kai Yao

My name is Kai Yao, and I am currently pursuing a PhD in the School of Informatics at the University of Edinburgh. My research focuses on Privacy Preserving Machine Learning, Fairness in Machine Learning, and Security of Machine Learning, and my advisor is Dr. Marc Juarez.

I obtained my Bachelor’s degree in Theoretical and Applied Mechanics from Fudan University and my Master’s degree in Mechanical Engineering from Johns Hopkins University. At Johns Hopkins, my research focused on Deep Learning applications in cellular biophysics. I was privileged to explore the depths of Statistics and Machine Learning through both coursework and research.

Before joining the University of Edinburgh, I also gained many years of valuable industry experience in AI. I worked as an AI Frameworks Engineer and Domain Lead at Intel, and as an AI Algorithm Engineer at Huawei. I specialized in model acceleration and DL frameworks optimization, emphasizing mixed precision and model quantization techniques.