I currently serve as an Instructor at Johns Hopkins Medical Institutes in the Radiological Physics Division of the Russell H. Morgan Department of Radiology and Radiological Science. I collaborate closely with Dr. Yong Du in the Quantitative Imaging Biomarker (QIB) Lab within the Radiology Department, as well as with Drs. Aaron Carass and Jerry Prince in the Image Analysis and Communications Lab (IACL) in the Electrical and Computer Engineering Department. I also maintain an informal affiliation with KU Lab under the PI, Dr. Katsuyuki “Ken” Taguchi, in the Radiology Department.

My research focuses on medical image analysis, particularly in image registration, segmentation, and denoising. I work with various imaging modalities, including nuclear medicine imaging (PET and SPECT), CT, and MRI. I am actively involved in the Medical Image Computing and Computer-Assisted Intervention (MICCAI) Society as a committee member of the MICCAI Special Interest Group in Biomedical Image Registration (SIG-BIR). I have co-organized the Learn2Reg 2024 and 2025 medical image registration challenges at the MICCAI conferences. Additionally, I am deeply engaged with the Society of Nuclear Medicine and Molecular Imaging (SNMMI), where I will serve as a non-voting member of the Board of Directors in the Physics, Instrumentation & Data Sciences Council (PIDSC) for a two-year term beginning in July 2025.

My academic journey at Johns Hopkins University spanned from 2017 to 2022, culminating in a Ph.D. under the mentorship of Dr. Eric C. Frey. I hold dual B.Sc. degrees with Summa Cum Laude honors in Computer Engineering and Electrical Engineering from North Carolina State University (2017), along with M.S.E. and Ph.D. degrees in Electrical & Computer Engineering from Johns Hopkins University (2019 and 2022, respectively).

In a significant career milestone, I was honored to be selected for the 2024 Forbes 30 Under 30 in Healthcare (see the full list here). This recognition underscores my dedication and the invaluable collaborations at the Radiological Physics Division and Johns Hopkins University. I extend profound gratitude to Drs. Eric Frey, Yong Du, and George Sgouros for their unwavering support and guidance in my professional growth.

Check out my interview with Lifestyles Magazine, where I discuss my research interests and their potential positive impact on healthcare.

PROJECT PAGES

TransMorph: Transformer for unsupervised medical image registration
Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks

UPDATES

• 03/01/2025: I will serve as a non-voting member of the Board of Directors in PIDSC at SNMMI for a two-year term starting in July 2025.
• 01/07/2025: TransMorph is among the “Top Cited” papers in Medical Image Analysis!
• 10/22/2024: I was awarded $5k faculty research credit from Google Cloud!
• 10/14/2024: I was selected as a gold-level distinguished reviewer in 2024 for IEEE TMI!
• 10/02/2024: One journal paper was accepted by Medical Image Analysis for publication!
• 08/19/2024: Check out my interview with Lifestyles Magazine, where I discuss my research interests and their positive impact on healthcare.
• 02/29/2024: One co-authored journal paper was accepted by International Journal of Computer Vision for publication!
• 02/10/2024: One paper was accepted to ISBI 2024!
• 11/28/2023: I was selected by Forbes for their 2024 “30 under 30” in Healthcare!! Forbes30under30
• 11/20/2023: One co-authored journal paper was accepted by IEEE TMI for publication!
• 10/12/2023: I was selected as a gold-level distinguished reviewer in 2023 for IEEE TMI!
• 10/11/2023: I received the “honorable mention” as a reviewer for MICCAI 2023!
• 06/29/2023: I received the 2023 IEEE NSS MIC RTSD Trainee Grant.
• 05/08/2023: I’ve won the 2023 JHU Discovery Award in collaboration with Yong Du, PhD, Steven Rowe, MD PhD, and Aaron Carass, DEng. LINK
• 04/18/2023: My papers as the first author were among the most downloaded publications in Medical Image Analysis and Medical Physics.
• 01/12/2023: One journal paper was accepted by Medical Image Analysis for publication!
• 01/01/2023: I joined JHMI as a research faculty member!
• 10/21/2022: Successfully defended my dissertation. Officially a Ph.D.!
• 09/02/2022: One journal paper was accepted by Medical Image Analysis for publication!
• 05/17/2022: One paper was accepted to WBIR 2022 as long oral!
• 04/22/2022: I won 2022 SNMMI Student Research Grant award!
• 02/10/2022: My Ph.D. thesis proposal was accepted!
• 09/29/2021: I was featured in the MICCAI daily 2021!
• 07/28/2021: I passed GBO exam! I’m now officially a Ph.D. candidate.

RESEARCH INTERESTS

• Nuclear Medicine Imaging (SPECT, PET)
• Medical Image Analysis (Segmentation, Registration, Desnoising)
• Deep Learning & Machine Learning
• Digital Phantoms

EDUCATION

• Ph.D. in Electrical & Computer Engineering, Johns Hopkins University (Baltimore, MD) (2022)
• M.S.E. in Electrical & Computer Engineering, Johns Hopkins University (Baltimore, MD) (2019)
• B.Sc. in Computer Engineering, Summa Cum Laude, North Carolina State University (Raleigh, NC) (2017)
• B.Sc. in Electrical Engineering, Summa Cum Laude, North Carolina State University (Raleigh, NC) (2017)

AWARDS & HONORS

• Fully Funded Graduate Assistantship, Radiological Physics Division, Johns Hopkins Medical Institute (2019 – 2022)
• SNMMI Student Research Grant Award: Discovering Molecular Imaging (2022)
• 2023 Johns Hopkins Discovery Award
• 2023 IEEE NSS MIC RTSD Trainee Grant
• 2024 Forbes 30 Under 30 in Healthcare Link