Tianyu Han
Assistant Professor at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolTianyu Han is an assistant professor and physicist with nine years of research experience applying statistical analysis, image reconstruction, and deep learning to MRI and medical imaging. Trained at RWTH Aachen (M.Sc. and PhD), his work spans generative adversarial models, adversarial privacy for clinical ML, and sequence optimization for Magnetic Resonance Fingerprinting. He progressed from doctoral research to postdoctoral roles at Uniklinik RWTH Aachen and now leads an academic lab at the University of Pennsylvania, bridging clinical collaborations and methodological innovation. Known for combining rigorous physics foundations with practical Python implementations, he translates complex MRI physics into deployable algorithms. An underappreciated strength is his focus on security and privacy in medical ML, ensuring models are both accurate and robust to adversarial risks. Based in Philadelphia, he brings a rare mix of clinical-facing experience and theoretical depth to medical imaging research.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics, 86/100, Bachelor of Science (B.Sc.), Physics, 86/100 at Nankai UniversityHigh School Diploma, High School Diploma at Tianjin Yaohua High SchoolDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at RWTH Aachen University
Github Skills (15)
boundaries8
medical6
data-sharing5
machine-learning4
deep-learning4
computer-vision4
adversarial-machine-learning3
pytorch3
security3
tensorflow2
federated-learning2
consistency1
correspondence1
federated1
cycle1
Programming languages (2)
Github contributions (5)
peterhan91/Medical-Robust-Training
Jun 2020 - Oct 2021
Contributions:1 release, 15 commits, 5 pushes in 1 year 4 months
peterhan91/Thorax_GAN
Sep 2019 - Jul 2020
necessary code used in our paper: Breaking Medical Data Sharing Boundaries by Employing Artificial Radiographs
Contributions:17 commits, 2 PRs, 14 pushes in 9 months
boundariesdeep-learningsharingcomputer-visionmachine-learning
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