Biography

I am currently a senior post-doctoral research fellow at the Department of Biomedical Informatics, Harvard Medical School, where I am working with Prof. Pranav Rajpurkar. I co-lead the Medical AI Bootcamp (for Harvard, Stanford, and MIT students and medical doctors all around the world).


I develop AI systems for healthcare that span patient communication, clinical decision-making, and model reliability. Specifically, I build (1) generative tools that translate complex diagnostic information into accessible formats for patients, (2) multimodal models integrating medical imaging with clinical records for diagnosis and treatment planning, and (3) methods ensuring AI reliability and efficiency across diverse populations and clinical settings. This positions AI not as a replacement for clinicians but as infrastructure for continuously improving healthcare.

Harvard Initiatives

ReXplain

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Medical AI Bootcamp

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Rajpurkar Lab

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News

[01/2026] Invited to be Area Chair for MICCAI 2026.
[01/2026] One paper on accepted by Nature Biomedical Engineering. Congrats to Yuxiang, Sunan, and Yequan!
[01/2026] One paper accepted as Oral Presentation for the HeaLing workshop. Congrats to Matthew!
[12/2025] One paper on evaluating healthcare AI accepted by Nature Medicine! In this perspective, we propose the Clinical Environment Simulator (CES) framework, arguing that clinical AI evaluation should move from static benchmarks to dynamic environments.
[11/2025] One paper on post-deployment continuous learning of medical AI was accpeted to NEJM AI. Congrats to Emma!
[11/2025] One paper on XAI accpeted to AAAI. Congrats to Yequan.
[11/2025] Glad to receive the PSB 2026 travel award! Look forward to meeting friends and colleagues at Hawaii!
[10/2025] One paper accepted by Nature Communications. Congrats to Linshan!
[10/2025] The GSCO work was accepted by Nature Biomedical Engineering. Congrats to Sunan, Yuxiang, and the team!
[09/2025] One paper accepted by TMI. Congrats to Shu Yang's achievement!
[09/2025] Glad that I am promoted to a Senior Post-doctoral Research Fellow at Harvard Medical School.
[09/2025] Five papers accepted to PSB 2026 , including three oral presentations.
[09/2025] One work accepted to RSNA 2025 for presentation.
[08/2025] Glad to serve as an associate editor for IEEE Journal of Biomedical and Health Informatics.
[07/2025] We released the ReXGrounding-CT dataset! Check the preprint here.
[06/2025] One paper on benchmarking text-prompted medical segmentation models was accepted by MLHC 2025.
[05/2025] We are hosting the VLM3D Challenge ! Special thanks to Ibrahim for putting this together.
[05/2025] Our ReXplain work is featured at SIIM
[05/2025] One paper early accepted by MICCAI
[05/2025] One paper accepted by TMI.
[04/2025] One paper accepted by MedIA.
[03/2025] We are hosting the Deep-Brea3th 2025 Workshop with MICCAI .
[02/2025] Nominated a member of Sigma Xi, The Scientific Research Honor Society .
[01/2025] One abstract was selected as Oral Presentation at SIIM 2025 .
[01/2025] One paper got accepted by Medical Image Analysis.
[01/2025] One paper got accepted by Nature Communications!
[01/2025] Invited to serve as Area Chair for MICCAI 2025!
[01/2025] Our paper ReXplain won the Best Paper of AI for Medicine and Healthcare, AAAI Bridge Program 2025!
[10/2024] One paper on scale-aware segmentation of lesions from medical images was accepted by IEEE TNNLS.
[09/2024] Awarded the Second Place in the Poster Presentation category at the 2024 Harvard DBMI Science Day.
[07/2024] Serve as a guest editor for the CMIG SI on TAI4MI .
[07/2024] Survey on AI-based breast cancer imaging was selected as a featured article for IEEE RBME.
[05/2024] Two papers were early accepted by MICCAI 2024.
[01/2024] One survey on Deep Learning in Breast Cancer Imaging was accepted by IEEE RBME.
[01/2024] Our paper on multimodal and explainable AI for cervical cancer diagnosis was accepted by Nature Communications.
[01/2024] One paper on Omni-supervised Learning was accepted by TMI.
[12/2023] One paper on XAI for skin lesion was accepted by AAAI 2024.
[08/2023] Proceedings of TML4H 2023 was officially online.
[06/2023] Two papers were accepted by MICCAI 2023, one of which was early accepted.
[05/2023] One paper on MIL-based WSI classification was accepted by IEEE TMI.
[05/2023] Serve as the program committee of the IJCAI 2024 workshop on TAI4H .
[05/2023] I have been serving as a guest editor for the IEEE JBHI SI on Trustworthy Machine Learning for Health Informatics .