Dr. Shuiwang Ji, professor in the Department of Computer Science and Engineering at Texas A&M University, has been elected to the 2022 class of the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows for his outstanding contributions to innovative machine learning methods for biomedical image and molecular graph analysis.
All fellows are nominated, reviewed and elected by peers and members of the College of Fellows. This year’s class is comprised of 152 inductees.
With more than 2,000 members total, AIMBE Fellows represent the top 2% of biological and medical engineers across industry, academia and government in the country. Since 1991, the AIMBE’s College of Fellows has led the way for technological growth and advancement in biological and medical engineering, helping to enhance and extend the lives of people worldwide.
Ji directs the Data Integration, Visualization and Exploration Laboratory at Texas A&M. The lab conducts foundational research in artificial intelligence and machine learning to solve real-world problems in biology, chemistry, physics and material science.
In addition, he is a distinguished member of the Association for Computing Machinery, a senior member of the Institute of Electrical and Electronics Engineers and a 2021 Texas A&M Presidential Impact Fellow.
Ji and his colleagues will be formally inducted during the AIMBE Annual Event on March 25.