Sep. 2018-Oct. 2022  Tsinghua University  Precision Medicine and Healthcare  PhD

Sep. 2015-Jun. 2018  National University of Defence and Technology  Software Engineering  Master Degree

Sep. 2011-Jun. 2015  Shandong University  Software Engineering  Bachelor Degree

Sep. 2025-Present  National Research Center for Information Science and Technology, Tsinghua University  Assistant Researcher

Oct. 2022-Sep. 2025  Qiyuan Lab  Assistant Researcher

Dec. 2021-Jun. 2022  Physic Department, Ecole Polytechnique  Visiting Scholar

（1）AI for Science

（2）LLM and Precision Medicine

（3）Intelligent Perception

Dr. Si conducts research on multimodal LLM for microscopic imaging and precision medicine, and has published several high-level academic papers. He won Best Student Paper Award at SPIE Photonics West 2022. He proposed a single-shot generative model for Mueller matrix polarization imaging, achieving substantial improvements in imaging efficiency and quality. He has led or played a key role in several government-funded projects, and some research outcomes have been integrated into the operations of multiple institutions.

Selected Papers：

[1] Ivanov, D.#, Si, Lu#*, Felger, L., Maragkou, T., Schucht, P., Schanne-Klein, M.-C., . . . Novikova, T.* (2023). Impact of corpus callosum fiber tract crossing on polarimetric images of human brain histological sections: Ex vivo studies in transmission configuration. Journal of Biomedical Optics, 28(10), 102908–102908.

[2] Chen, Y.#, Dong, Y.#, Si, Lu, Yang, W., Du, S., Tian, X., . . . Ma, H.* (2022). Dual polarization modality fusion network for assisting pathological diagnosis. IEEE Transactions on Medical Imaging, 42(1), 304–316.

[3] Si, Lu, Huang, T., Wang, X., Yao, Y., Dong, Y., Liao, R., & Ma, H*. (2022). Deep learning Mueller matrix feature retrieval from a snapshot Stokes image. Optics Express, 30(6), 8676–8689.

[4] Si, Lu, Li, N., Huang, T., Du, S., Dong, Y., Yao, Y., & Ma, H.* (2021). Computational image translation from Mueller matrix polarimetry to bright-field microscopy. Journal of Biophotonics, 15(3), e202100242.

[5] Si, Lu, Li, X., Zhu, Y., Sheng, Y., & Ma, H. * (2020). Feature extraction on Mueller matrix data for detecting nonporous electrospun fibers based on mutual information. Optics Express, 28(7), 10456–10466.