Experience经历
During my master's at the University of Cambridge, I worked with Dr Elliott Wu on an LLM multi-agent pipeline that turns language into simulation-ready 3D scenes for robot manipulation.
In the summer of 2025, I completed a Google DeepMind Research-Ready internship, building a differentiable, GPU-accelerated physics engine for magnetic skyrmion transport.
During my undergraduate at UCL, I worked as a research assistant with Dr Yu Wu on wearable tactile sensing, human pose estimation, and biomedical circuit design, leading to two first-author IEEE ISCAS papers. In the summer of 2024, I was a research intern at Qualcomm.
硕士期间在剑桥大学,我与 Dr Elliott Wu 合作,研究一套 LLM 多智能体流程,把语言转化为可直接用于仿真的 3D 场景,用于机器人操作。
2025 年夏,我完成了 Google DeepMind Research-Ready 实习,构建可微、GPU 加速的物理引擎,研究磁性斯格明子的输运。
本科期间在 UCL,我作为研究助理与 Dr Yu Wu 合作,研究可穿戴触觉传感、人体姿态估计与生物医学电路设计,并发表两篇一作 IEEE ISCAS 论文。2024 年夏,我在 Qualcomm 担任研究实习生。
Publications发表论文
Projects研究项目
Towards Simulation-Ready LLM-Generated Articulated Scenes迈向仿真就绪的 LLM 生成关节场景
Cambridge MRes thesis
Ingestible Bio-Sensor Pill for Targeted Drug Delivery用于靶向给药的可吞咽式生物传感器胶囊
2023 CASS Design Competition (UK 1st)
Awards & Grants荣誉与资助
Education教育经历


Online Courses在线课程
- CS229: Machine LearningCS229:机器学习 Stanford斯坦福
- CS231n: Deep Learning for Computer VisionCS231n:计算机视觉中的深度学习 Stanford斯坦福
- CS336: Language Modeling from ScratchCS336:从零构建语言模型 Stanford斯坦福