About

I was awarded the NIH K99/R00 Pathway to Independence Award by the National Cancer Institute and the NIH Office of the Director ($962,460 total direct costs).

I received the Outstanding Area Chair Award at MICCAI 2026.

I’m teaching ECE 6357 Advanced Image Processing at Vanderbilt this fall, with Yihao Liu.

I’m guest editing a special issue on deformable image registration in the Journal of Medical Imaging.

Our NIH R01 on MR image harmonization for federated learning was funded. I’m a co-investigator.

I received the Postdoctoral Service Award (Postdoc of the Year) from Vanderbilt University.

I received the Outstanding Reviewer Award at MICCAI 2025.

I gave a keynote at the ISBI 2025 workshop on multi-site medical image harmonization.

I was awarded an NSF NAIRR Pilot computing grant as principal investigator.

I’m chairing the SASHIMI workshop at MICCAI, 2024 through 2026.

I joined the MASI Lab at Vanderbilt University as a postdoctoral research fellow.

I defended my Ph.D. at Johns Hopkins University.

Our paper on HACA3 was published in Computerized Medical Imaging and Graphics. Code

I was interviewed by NeurologyLive and the Video Journal of Neurology about MRI harmonization in multiple sclerosis.

Our paper received the Best Paper Award at the DALI workshop at MICCAI 2022.

Our paper received the Best Poster Award at IPMI 2021.

Postdoctoral Research Fellow, Vanderbilt University
Medical-image Analysis and Statistical Interpretation (MASI) Lab, with Bennett Landman

Predoctoral Research Fellow and Special Volunteer, National Institute on Aging
Laboratory of Behavioral Neuroscience, with Susan Resnick

Graduate Research Assistant, Johns Hopkins University
Image Analysis and Communications Laboratory (IACL), with Jerry Prince

Ph.D. in Electrical and Computer Engineering, Johns Hopkins University
Unsupervised structural MRI harmonization by learning disentangled representations. Advisor: Jerry Prince

M.S.E. in Electrical and Computer Engineering, Johns Hopkins University
Quality assurance using outlier detection for cerebellar lobule segmentation. Advisor: Jerry Prince

B.S. in Instrument Science and Technology, Jilin University
Changchun, China

Outstanding Area Chair Award, MICCAI (3 of 245)

Postdoc of the Year (Postdoctoral Service Award), Vanderbilt University

Outstanding Reviewer Award, MICCAI (top 0.7%)

Best Poster Award, ACTRIMS Young Scientist Summit

Finalist, Siebel Scholarship

Young Scientist Summit Training Award, ACTRIMS

Best Paper Award, DALI workshop at MICCAI

Best Poster Award, Information Processing in Medical Imaging (IPMI)

Scientific Director Award, NIA Intramural Research Program Scientific Retreat

Predoctoral Intramural Research Training Award, National Institutes of Health

Finalist, Excellence in Teaching Award, Whiting School of Engineering, Johns Hopkins

When scanners speak different languages: challenges and solutions for harmonizing medical images
Keynote, ISBI workshop on multi-site medical imaging data adaptation and harmonization, Houston

The shape of data in noise: diffusion models as a programmable prior
VALIANT Summer School, Vanderbilt University

Decoding AI's creative mind: an introduction to generative models
VALIANT Summer School, Vanderbilt University

From voxels to patients: a data-centric journey towards consistent translational AI
Vanderbilt Institute for Surgery and Engineering

Unsupervised MR image harmonization with disentangled representation learning
Harvard Medical School (remote)

Unsupervised MR harmonization with disentanglement
University of Science and Technology of China (remote)

Domain shift, domain adaptation, and magnetic resonance image harmonization
Guest lecture, Machine Learning, Johns Hopkins University

An overview of disentangled representation learning for MR harmonization
Neural Systems Analysis Laboratory, Johns Hopkins University

Unsupervised MR image harmonization using disentangled representation learning
Computational Neuroimage Science Laboratory, Stanford University (remote)

Area Chair, MICCAI 2026 and MIDL 2026

Guest Editor, Journal of Medical Imaging, special issue on deformable image registration

Organizer, Learn2Reg challenge at MICCAI; THRIVE workshop (Tennessee Health Research and Innovation using Verified AI Ecosystems)

Chair, SASHIMI (Simulation and Synthesis in Medical Imaging) workshop at MICCAI

Organizer, Beyond FA challenge, ISBI

Guest Editor, NeuroImage, special issue on harmonization techniques for MRI

Editorial Chair, DALI workshop at MICCAI

Reviewer for IEEE TMI, IEEE TPAMI, Medical Image Analysis, NeuroImage, and others; MICCAI, MIDL, ISBI