I’m a PhD Candidate in ECE department at the University of Michigan, co-advised by Prof. Yun Jiang and Prof. Jeffrey A. Fessler. My research focuses on optimization and machine learning for inverse problems in medical imaging, with an emphasis on accelerated and quantitative MRI. In particular, I work on implicit neural representation and score-based diffusion models that combine MRI physics with deep learning priors. Outside of research, I enjoy (gravel) cycling, tennis, and photography.

News

• 2025-11 – Two abstracts accepted for the ISMRM Workshop on Data Sampling & Image Reconstruction

• 2025-10 – Two abstracts submitted to the 2026 ISMRM Annual Meeting and the ISMRM Workshop on Data Sampling & Image Reconstruction

• 2025-07 – Oral presentation at the Magnetic Resonance in Madison Workshop

• 2025-05 – Oral presentation in the “Riding the Frontier of MRI Reconstruction” session at the 2025 ISMRM Annual Meeting (Summa Cum Laude Award)

• 2025-03 – Attended the ISMRM Workshop on Body MRI

• 2025-02 – Preprint of our bilevel optimized INR method for MRI reconstruction posted on arXiv

• 2025-01 – One abstract accepted as an oral presentation at the 2025 ISMRM Annual Meeting

• 2024-11 – Submitted one abstract to the 2025 ISMRM Annual Meeting

• 2024-05 – Advanced to PhD candidacy

• 2023-08 – Started PhD studies in ECE at the University of Michigan, Ann Arbor