Junshen Xu  

Hi! I am a Senior Applied Scientist at AWS, where I develop AI systems for cloud security. My research focuses on foundation models, autonomous AI agents, and large-scale machine learning systems for threat detection, threat intelligence, and automated security investigations. I am particularly interested in building AI systems that can reason, learn, and collaborate to solve complex cybersecurity problems.

Before joining AWS, I received my Ph.D. in Electrical Engineering and Computer Science from MIT, where I was advised by Prof. Elfar Adalsteinsson and worked closely with Prof. Polina Golland and Prof. P. Ellen Grant. My doctoral research focused on machine learning for medical image analysis, developing robust and efficient algorithms for motion-robust 3D reconstruction, image quality assessment, and fetal MRI analysis.

During my Ph.D., I also interned at Google and Meta, where I worked on machine learning for online advertising and large-scale recommendation systems. Prior to MIT, I received my Bachelor’s degree in Engineering Physics from Tsinghua University and spent a summer as a research assistant at Stanford University, working with Prof. John Pauly and Prof. Greg Zaharchuk.