Bohua Wan
Research Assistant at The Johns Hopkins University
Baltimore, Maryland, United States
Summary
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Top SchoolBohua Wan is a PhD candidate and research assistant at Johns Hopkins University with eight years of experience developing generative AI and deep learning methods for medical image analysis. He led the design of a conditional Latent Diffusion Model with a Stacked VQ-VAE to synthesize high-fidelity 3D CT volumes, enabling scalable virtual clinical trials and revealing population-driven failure modes in diagnostic models. His work also includes robust 3D ResNet prognostic frameworks and novel interpretability techniques like High-Resolution CAM that have informed clinical plan re-optimization and reduced predicted toxicity in the majority of cases. As a teaching assistant he improved course workflows and automated grading, demonstrating a pragmatic focus on reproducibility and efficiency alongside cutting-edge research. Based in Baltimore, he combines rigorous academic training with hands-on systems engineering to bridge AI innovation and clinical impact.
7 years of coding experience
Johns Hopkins UniversityBachelor's degree Computer Science, Bachelor's degree Computer Science at China University of Petroleum, Beijing
Stackoverflow
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Github Skills (34)
adaptation6
correlation6
named-parameters6
resultset5
sql2o5
java4
spring4
csv4
database3
pojo3
csv-parser3
jdbc2
mysql2
parser2
pytorch2
Programming languages (4)
Github contributions (5)
GlenGGG/FTP
Dec 2019 - Mar 2021
Contributions:5 commits, 3 pushes, 1 branch in 1 year 3 months
GlenGGG/django_learn_repo
Jun 2018 - Aug 2018
Contributions:43 pushes, 1 branch, 2 tags in 2 months
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