CV
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General Information
| Full Name | Dr Shangqi Gao |
| Address | Early Cancer Institute CB2 0XZ, Cambridge, UK |
| Research Interest | Inverse Problems, Medical Image Analysis, Explainable AI |
Education
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2018 - 2022 PhD in Statistics
Fudan University, Shanghai, China - PhD Thesis, Deep Image Decomposition and Reconstruction, Defensed in 05/2022
- Advisor, Prof. Xiahai Zhuang
- Deep Image Decomposition and Reconstruction
- This dissertation chronicles deep learning-based mathematical and statistical frameworks for solving inverse problems in photography and medical imaging as well as their applications in natural image super-resolution and medical image segmentation.
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2015 - 2018 MSc in Applied Mathematics
Wuhan University, Wuhan, China - MSc Thesis, Regularization-Based Approaches for Tensor Completion, Defensed in 05/2018
- Advisor, Prof. Qibin Fan
- Regularization-Based Approaches for Tensor Completion
- This dissertation chronicles regularization approaches for solving inverse problems in tensor completion as well as their applications in color images, color videos, and magnetic resonance images.
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2011 - 2015 BSc in Applied Mathematics
Northwestern Polytechnical University, Xi'an, China
Experience
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2024 - now Research Associate
Early Cancer Institute, University of Cambridge - Doing projects on AI for Cancer Imaging by integrating machine learning and multi-omics data analysis.
- Focusing on bridging various data modalities, including radiological imaging, genomics, liquid biopsies, and digital pathology, to identify novel biomarkers, uncover disease
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2023 - 2024 Postdoctoral Research Assistant
Big Data Institute, University of Oxford - Doing a project on Urological Cancer Pathology AI-Beyond Prostate by translating new AI solutions for pathology into the clinical environment.
- Focusing on graph neural networks, Bayesian deep learning, and uncertainty quantification in urological cancer grading.
Honors and Awards
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2024 - Shanghai Natural Science Award (2nd Prize), Shanghai Science and Technology Awards
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2023 - MedIA Best Paper Award, Elsevier & MedIA
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2022 - Excellent Graduate Award, Shanghai Higher Education Department
- Student Travel Award, MICCAI
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2021 - National Graduate Scholarship (Ph.D.), Fudan University
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2017 - National Graduate Scholarship (MSc), Wuhan University
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2014 - Meritorious Winner of MCM, SIAM
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2013 - Honorable Mention of MCM, CSIAM
Academic Service
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Academic society
- President, MICCAI Special Interest Group on Explainable AI for Medical Image Analysis, 2024 - now
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Peer Review
- Cancer Discovery
- Nature Communications
- Medical Image Analysis
- IEEE Transactions on Medical Imaging
- IEEE Transactions on Neural Network and Learning System
- Neural Networks
- ICCV, CVPR, ECCV, and MICCAI