Zongwei Zhou is an assistant research scientist in the Johns Hopkins University’s Department of Computer Science. His research focuses on developing novel methods to reduce the annotation efforts for computer-aided detection and diagnosis.

He received a 2022 Doctoral Dissertation Award from the American Medical Informatics Association, a 2020 Elsevier Medical Image Analysis Best Paper Award, and a 2019 Young Scientist Award from the Medical Image Computing and Computer Assisted Intervention Society. In addition to 10 U.S. patents, Zhou has published over 60 peer-reviewed journal and conference articles, two of which have been ranked among the most popular articles in IEEE Transactions on Medical Imaging and one as the highest-cited article in EJNMMI Research. He was named in Stanford University’s list of “World’s Top 2%” scientists from 2022–2024.

He received his PhD in biomedical informatics from Arizona State University in 2021, where he was also honored with the university’s President’s Award for Innovation.