Qinxun Bai

Qinxun Bai is an accomplished researcher in theoretical and applied machine learning. With a Ph.D. in Computer Science from Boston University, Qinxun has made significant contributions to the field, receiving recognition for bringing new mathematical perspectives to understand essential yet underexplored aspects of machine learning problems, amidst a particular emphasis on the computer vision domain. With a Master's degree in Pattern Recognition and Intelligent Systems from the Chinese Academy of Sciences, and a Bachelor's degree in Electronic Engineering from Tsinghua University, Qinxun has received a well-rounded education, honing his skills in the data science field.

Qinxun's interest in machine learning has taken him through numerous organizations throughout his career. He has served as a Senior Research Scientist at Horizon Robotics, where he led research on developing intelligent systems for smart devices. He previously held Research Scientist roles at Hikvision Research America, Vicarious AI, and interned at Microsoft Research Cambridge. Qinxun has also worked as a Research Assistant at Boston University and the National Laboratory of Pattern Recognition, Chinese Academy of Sciences.

As a professional, Qinxun has spearheaded research projects and developed groundbreaking algorithms that have substantial implications for the field of machine learning. Some of his previous research work can be found on his website. His dedication to the field has earned him a reputation as a leading researcher in mathematics and machine learning.