Summary
Zhewei Wang is a Visiting Assistant Professor in AI with over a decade of hands-on experience applying deep learning to medical imaging and nanomaterials. He has led PI-funded projects, contributed to NIH/NSF proposals, and translated research into industry tools used by organizations like Charles River Laboratories. His publications span Nano Letters, ISBI, ICMLA and Frontiers in Neuroscience, and he serves as a reviewer for top conferences and journals. At MGH and Ohio University he built MLOps pipelines, deployed annotation SOPs, and created productionized software (e.g., a QuPath-based cell detection tool rolled out to CRL). He bridges disciplines—collaborating across chemistry, physics, and engineering—to accelerate translational AI from prototype to clinic. Fluent in both research and operationalization, he often tackles cold-start problems with synthetic data and ensemble strategies that aren’t obvious from publication lists alone.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Ohio University
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at University of Electronic Science and Technology of China