About Me
I am a rising senior in Computer Science at Tsinghua University. My research has exposed me to a range of problems in artificial intelligence, computer vision, and biomedical imaging through work at MIT and the University of Notre Dame. I am particularly interested in research that connects methodological advances with meaningful scientific questions, and in how machine learning can provide better ways to measure, represent, and understand complex data.
I am actively seeking PhD opportunities for Fall 2027.
You can find my CV here.
Research
My research lies at the intersection of artificial intelligence, computer vision, and biomedical imaging. I am interested in developing computational methods that extract reliable and biologically meaningful information from complex biomedical data. More broadly, I hope to build learning systems that are not only accurate, but also scientifically interpretable and reliable in real-world biomedical settings.
(on-site)
Visiting Student · Mori Laboratory
Nagoya University, Japan
Advisor: Prof. Kensaku Mori
Studied medical image processing and endoscopic super-resolution imaging. Developed a multi-frame registration and fusion method to improve the clarity and sharpness of endoscopic images under small-sensor constraints.
(on-site)
Group Member · Knowledge Engineering Group
Tsinghua University
Advisor: Prof. Yuxiao Dong
Worked on multimodal large models for visual understanding and generation, contributing to dataset construction and model fine-tuning for the CogAgent project and related vision-language tasks.
(on-site Jul-Aug 2025)
Research Intern · Sustainable Computing Lab (iSURE Program)
University of Notre Dame, USA
Advisor: Prof. Yiyu Shi
Developing AI methods for pediatric critical care, including device suppression that preserves anatomy, topology-sensitive modeling of tubular devices, and agentic triage that accounts for uncertainty in chest radiograph analysis.
(on-site since Jul 2026)
Research Intern · Computational Biophotonics Laboratory
Massachusetts Institute of Technology, USA
Advisor: Prof. Sixian You
Investigating computational representations of cellular morphology in label-free microscopy through cell delineation and representation learning. Developing spatial methods integrating SLAM imaging with spatial transcriptomics to study aging- and APOE-associated brain changes through myelin imaging features, alongside deep-learning denoisers for low-SNR single-pulse FLIM.
Publications
LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays
Accepted at Medical Imaging with Deep Learning (MIDL) , 2026
LightRefine-PCXR is a lightweight, anatomy-aware refinement framework for suppressing medical devices in pediatric chest X-rays, providing high-quality restoration with low training cost and limited pediatric data for clinical deployment.
[Paper] [Code]
CRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems
Under review at IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , 2026
Risk-constrained routing framework for agentic medical AI systems.
[Paper]
Decoding Cellular Phenotypes in Label-Free Nonlinear Imaging of Living Tissues
Submitted to SPIE Photonics West 2027 (Multiphoton Microscopy) , 2027
Characterization of protein-defined cellular phenotypes in living lymph-node tissue through label-free third-harmonic generation imaging. Integration of multiplexed immunofluorescence with three-dimensional imaging resolves more than 20 immune-cell subtypes and reveals their spatial organization, migratory behavior, and metabolic states without exogenous labels.
Miscellaneous
Awards & Honors
- 2025 Comprehensive Excellence Scholarship, Tsinghua University
- 2024 Comprehensive Excellence Scholarship, Tsinghua University
- 2023 Freshman Scholarship, Tsinghua University
- Tsinghua University Student Social Practice Silver Award
Interests
I am passionate about figure skating and am a member of Tsinghua University’s Figure Skating Club. I particularly enjoy watching figure-skating competitions and ice shows.