我的研究主要围绕计算成像与逆问题展开，涉及 X 射线 CT、能谱与光子计数成像、辐射散射建模、数值优化和物理信息深度学习。我希望从测量过程中的物理规律出发，建立可解释、可验证的模型，并结合高效计算方法提升成像质量与定量可靠性。
我也关注大语言模型的推理机制和计算效率，喜欢将数学分析、算法实现和实验评估结合起来解决实际问题。
教育经历
- 2023 — 至今清华大学
核科学与技术 · 博士研究生
- 2019 — 2023清华大学
工程物理 · 本科
Biography
I am a Ph.D. student in Nuclear Science and Technology at Tsinghua University. My research interests lie at the intersection of X-ray computational imaging, physics-informed modeling, inverse problems, and machine learning. I am also interested in efficient inference for large language models.
I study computational imaging problems in which physical models, statistical inference, and numerical optimization can make reconstruction more reliable and quantitative. My work spans X-ray CT, spectral and photon-counting imaging, scatter modeling, and physics-informed learning. I enjoy moving between mathematical reasoning, algorithm implementation, and experimental validation.
Alongside scientific imaging, I explore practical ideas in machine learning systems and efficient language-model inference.