Ge Wang is Clark & Crossan Endowed Chair Professor and Director of Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USA. He published the first spiral cone-beam CT paper in 1990s and since then many papers systematically contributed to theory, algorithms, artifact reduction and biomedical applications in this important area. Currently, there are ~200 million medical CT scans yearly with a majority in the spiral/helical cone-beam/multi-slice mode. His group and collaborators developed interior tomography to solve the long-standing “interior problem” for high-fidelity local reconstruction, and proposed omni-tomography (“all-in-one” and “all-at-once”) with CT-MRI as an example. He initiated bioluminescence tomography as a new molecular imaging modality. He wrote the first perspective on deep-learning-based tomographic imaging in 2016 as the new frontier of machine learning, 2 papers on deep imaging in Nature Machine Intelligence, and a textbook on this topic with his coauthors published by IOP in 2019. He wrote over 500 journal papers and 100 issued and pending patents, receiving a high number of citations and academic recognitions/awards. His results were featured in Nature, Science, PNAS, and news media. His team has been continuously and strongly funded by federal agencies and companies. His main interest is in medical imaging and artificial intelligence. He is Outstanding Associate Editor of IEEE Transactions on Medical Imaging and Lead Guest Editor of 6 special issues for this flagship journal and the Book Series Editor of the IOP series of Artificial Intelligence in Biomedical Sciences. He is Fellow of IEEE, SPIE, OSA, AIMBE, AAPM, AAAS, and National Academy of Inventors