Dr. Qian Wang is a prominent researcher in the field of medical image analysis. His groundbreaking work focuses on the integration of machine learning and artificial intelligence with medical image computing and informatics. This fusion of technologies advances several key healthcare areas: smart diagnosis and prognosis, personalized therapy planning and monitoring, and transformative translational medical research.

He currently serves as a Professor of Biomedical Engineering at ShanghaiTech University and directs the Medical Imaging and Informatics Laboratory (MIIL). Dr. Wang’s academic journey includes Bachelor’s and Master’s degrees in Electronic Engineering from Shanghai Jiao Tong University (SJTU), followed by a Doctorate in Computer Science from the University of North Carolina at Chapel Hill (UNC). From 2013 to 2021, he established and led the Medical Image Computing (MIC) Lab at SJTU.

Dr. Wang demonstrates exceptional commitment to the medical imaging research community through his editorial contributions to six prestigious academic journals, such as Medical Image Analysis and Pattern Recognition. As co-founder of the Medical Image Computing Seminar (MICS), he has helped cultivate what has become one of China’s most influential academic communities for medical imaging research since its inception in 2014.

Throughout his career, Dr. Wang has mentored many graduate students and professionals who have gone on to make significant contributions to the field. His laboratory continues to foster an environment of innovation and excellence, welcoming prospective candidates who demonstrate exceptional talent, unwavering determination, and intellectual courage in their research pursuits.