📖 Education

2017.09 - 2022.06: DPhil in Biomedical Engineering, Fudan University, Shanghai, China
Awarded the best thesis of the year. Developed intelligent diagnostic algorithms for breast cancer using multimodal medical images. Published five peer-reviewed papers and presented at major conferences.
2021.04 - 2022.06: Joint PhD Research, Imperial College London, BioMedIA Group, Department of Brain Sciences
Conducted collaborative research focusing on advanced machine learning and generative models for medical imaging.
2017.06 - 2017.09: Visiting Researcher, Leiden University Medical Center, Department of Radiology, The Netherlands
Investigated cardiac motion tracking methods, achieving significant accuracy improvements using deep learning techniques.
2013.09 - 2017.06: BEng in Electronic Engineering, Fudan University, Shanghai, China
Graduated with high distinction. Developed a breast ultrasound image analysis system to improve diagnostic efficiency. Awarded best undergraduate thesis of the year.

💬 Invited Talks

2024.10, London Symposium 2024, IDEA Lab, Friedrich-Alexander University Erlangen-Nuremberg: Personalised Generative Models for Unveiling Normal Heart Dynamics
2024.07, Shenzhen University: Deep Generative Modelling for Cardiac Anatomy
2023.09, 1st CCF Digital Medicine Symposium (DMS), Suzhou: Application and Optimization of Generative AI in Medical Multimodal Data
2020.05, IEEE ISCAS (Virtual Talk): Breast DCE-MRI Radiomics: A Robust Computer-Aided System Based on Reproducible BI-RADS Features
2019.07, IEEE EMBC, Berlin: Breast Calcification Detection Based on Radiofrequency Signals by Quantitative Ultrasound Multi-Parameter Fusion
2018.09, STACOM Workshop, MICCAI, Granada: Fully Automated Left Atrium Cavity Segmentation from 3D GE-MRI