全奖博士生项目介绍(Digital Cell):3D细胞重建、渲染与生成模型研究
1470
导师简介
袁善欣（Shanxin Yuan）老师是Queen Mary University of London（QMUL）电子工程与计算机科学学院助理教授，此前是华为诺亚方舟实验室伦敦研究所的高级研究员，博士毕业于Imperial College London。研究方向为: 3D computer vision, digital human (body, face, hand), 3D gaussian splatting, digital music, dance generation, computational photography, generative AI。我们组有H200, A100 GPU计算集群。
个人主页：shanxinyuan.github.io
邮箱: 1point3acres.com
微信： IC_Samuel
全奖博士生项目介绍：3D细胞重建、渲染与生成模型研究
AI-driven 3D Cellular Reconstruction, Rendering, and Generation: This project develops an AI framework for cell-level 3D reconstruction from 2D multimodal spatial data, powered by our unique, large-scale dataset of over 600,000 annotated cells. Using 3D Gaussian Splatting and generative modeling, you will infer volumetric structures of the membrane, cytoplasm, and nucleus for individual cells. By leveraging this massive annotated resource to learn probabilistic structural priors, the project quantifies cellular divergence in health and disease, establishing a new gold standard for AI-driven 3D cellular modeling across any tissue or spatial omics dataset.
导师组介绍：
AI 算法核心指导：Dr. Shanxin Yuan，QMUL 电子工程与计算机科学学院 (EECS)
Shanxin Yuan博士：专注于 3D 物体重建、3D 编辑与动画、以及基于 3D Gaussian Splatting (3DGS) 。
scholar.google.com
生物医学与空间组学指导：Prof. Dr. Simon Haas & Dr. Llorenç Solé-Boldo, QMUL 精准健康研究院 (Precision Healthcare University Research Institute (PHURI)）
Simon Haas 教授： 领域内的领军学者，其团队致力于开发新型多模态单细胞与空间分辨率技术，旨在揭示血液肿瘤的复杂病理及其与免疫系统的交互。
scholar.google.com
Llorenç Solé-Boldo 博士： 专注于利用空间组学技术解析人类骨髓的分子、细胞及空间组织架构。scholar.google.com
申请截止日期：Monday 23rd March 2026
奖学金支持：
●Tax-free annual stipend of £22,780 (increasing in subsequent years).
●Paid tuition fees.
●Research training support grant.
●Conference fund.
●Access to the DFA Flexible Award scheme to help fund a wide range of research and training
袁善欣（Shanxin Yuan）老师是Queen Mary University of London（QMUL）电子工程与计算机科学学院助理教授，此前是华为诺亚方舟实验室伦敦研究所的高级研究员，博士毕业于Imperial College London。研究方向为: 3D computer vision, digital human (body, face, hand), 3D gaussian splatting, digital music, dance generation, computational photography, generative AI。我们组有H200, A100 GPU计算集群。
个人主页：shanxinyuan.github.io
邮箱: 1point3acres.com
微信： IC_Samuel
全奖博士生项目介绍：3D细胞重建、渲染与生成模型研究
AI-driven 3D Cellular Reconstruction, Rendering, and Generation: This project develops an AI framework for cell-level 3D reconstruction from 2D multimodal spatial data, powered by our unique, large-scale dataset of over 600,000 annotated cells. Using 3D Gaussian Splatting and generative modeling, you will infer volumetric structures of the membrane, cytoplasm, and nucleus for individual cells. By leveraging this massive annotated resource to learn probabilistic structural priors, the project quantifies cellular divergence in health and disease, establishing a new gold standard for AI-driven 3D cellular modeling across any tissue or spatial omics dataset.
导师组介绍：
AI 算法核心指导：Dr. Shanxin Yuan，QMUL 电子工程与计算机科学学院 (EECS)
Shanxin Yuan博士：专注于 3D 物体重建、3D 编辑与动画、以及基于 3D Gaussian Splatting (3DGS) 。
scholar.google.com
生物医学与空间组学指导：Prof. Dr. Simon Haas & Dr. Llorenç Solé-Boldo, QMUL 精准健康研究院 (Precision Healthcare University Research Institute (PHURI)）
Simon Haas 教授： 领域内的领军学者，其团队致力于开发新型多模态单细胞与空间分辨率技术，旨在揭示血液肿瘤的复杂病理及其与免疫系统的交互。
scholar.google.com
Llorenç Solé-Boldo 博士： 专注于利用空间组学技术解析人类骨髓的分子、细胞及空间组织架构。scholar.google.com
申请截止日期：Monday 23rd March 2026
奖学金支持：
●Tax-free annual stipend of £22,780 (increasing in subsequent years).
●Paid tuition fees.
●Research training support grant.
●Conference fund.
●Access to the DFA Flexible Award scheme to help fund a wide range of research and training
