I am a fourth-year Ph.D. student in Computer Science at Vanderbilt University and affiliated with Vanderbilt Institute for Surgery and Engineering. My research interest lies in artificial intelligence and computer vision applications in healthcare domain, especially in utilizing large-scale imaging studies to improve personalize medicine. I am advised by Bennett Landman, PhD and work closely with VUMC clinical experts Kim Sandler, MD, Fabien Maldonado, MD, MSc, and J. Jeffrey Carr, MD, MSc.

Previously, I received my M.Sc. in Computational Mathematics (Computational Fluid Dynamics) from Academy of Mathematics and Systems Science of Chinese Academy of Sciences. Before joining Vanderbilt, I worked as algorithm engineer (3D modeling) at KLA Corporation.

Open to work!

I am looking for AI research and engineering job opportunities after graduation. In my Ph.D. training, I am primarily focused on the AI research for automatic interpretation of clinical relevant incidental image data in routine lung cancer screening low-dose CT. This line of research leads to three conference and two journal publications. I am experienced with AI algorithm development, cloud computing, large-scale software development in both industrial and academic settings.

Please feel free to contact me (kaiwen.xu[at]vanderbilt[dot]edu) if there is a potential good fit! Here are my CV, LinkedIn page, and Google scholar profile.