[02.2025] LILAC (Paper) is featured in the WCM Newsroom (Link) and Cornell Chronicle (Link)!

[02.2025] Learning-based Inference of Longitudinal Image Changes (LILAC) is published in PNAS (Paper/Code).

[10.2024] Our team won runner-up in the 2024 MICCAI BraTs Segmentation Challenge (Paper).

[10.2024] Our paper on generalized prevalence adjustment for distribution shifts, led by Minh Nguyen, was accepted and presented at ECCV 2024. (Paper).

[09.2024] I was invited to give a talk at the Annual Symposium for Evolving Therapies and Drug Development in Oncology.

[04.2024] Thrilled to announce that my NIH K25 career development grant has been awarded! I am excited to explore new opportunities and advance research in prostate cancer.

[04.2024] Our review paper on the interpretability of machine learning model for medical imaging (MLMI), led by Alan Wang, has been published in IEEE Access (Paper).

[10.2023] I was invited to give a talk at Asilomar Conference on Signals, Systems, and Computers.

[09.2023] I was invited to give a talk at Annual Symposium for Evolving Therapies and Drug Development in Oncology.

[08.2023] Our paper showing the application case of UniverSeg for prostate MRI was accepted by MICCAI MedAGI workshop (Paper).

[05.2023] I was awarded Postdoctoral Researcher Seed Grant from WCM Radiology.

[05.2023] Our paper discussing the role of AI in prostate MRI was accepted by European Journal of Radiology (Paper).

[02.2023] Our paper learning to compare longitudinal image sequences was accepted by MIDL.

[11.2022] I was invited as a junior chair for NIPS Workshop ML4H Symposium Roundtable.

[11.2022] Our paper was accepted showing preliminary results showing the potential application of simple deep learning models for early detection of PCa using mpMRI by Academic Radiology.

[09.2021] I joined Mert Sabuncu's group as a postdoctoral researcher.

[06.2021] Our paper jointly led by Mengwei Ren learning diffusion weighted images from multi-modal structural MRI was accepted and invited for an oral presentation by MICCAI (Project page)

[05.2021] I got my Ph.D. :)

[05.2021] Our study of biochemical sensing using microparticle with OCT image and deep learning participated during my internship at Nokia Bell Lab is out in ACS NANO.

[02.2021] Our paper led by Axel Elaldi and Neel Dey learning equivariant sparse spherical deconvolution for diffusion MRI images was accepted by IPMI 2021.

[10.2020] I received National Institutes of Health (NIH) travel awards at MICCAI 2020.

[10.2019] I received the best oral presentation award at MICCAI CDMRI workshop in Shenzhen.

[06.2019] Internship at Math & Algorithm group at Nokia Bell Lab.

[02.2019] My paper won the best student paper in image processing at SPIE Medical Imaging in San Diego.