国产a片 学术报告[2026]033号

(高水平大学建设系列报告1292号)

报告题目：Deciphering Nuclei-Resolved Spatial Biology by Uniting Spatial Omics and Histopathology

报告人：李苓玉 （香港大学）

报告时间：2026年4月26日10:30-11:30

报告地点：汇星楼514

报告内容：High-resolution spatial transcriptomics (ST) and multiplexed imaging are transforming our understanding of the tumor microenvironment, but their cost, data sparsity, and computational burden still limit routine use. In this talk, I will present two complementary computational frameworks, FineST and SparseAEH, that together provide a scalable pipeline from standard histopathology to nuclei-resolved maps of cell communication, phenotypes, and gene expression programs. FineST uses deep contrastive learning to fuse ST with matched histology via histology foundation models, enabling accurate nuclei segmentation, high-resolution RNA imputation, and ligand-receptor analysis at single-nucleus resolution. Across VisiumHD and Xenium datasets in multiple cancer types, FineST consistently improves RNA imputation, cell-type prediction, and the discovery of cell-cell communication. Complementing this, SparseAEH addresses the computational bottleneck in discovering spatial expression “histologies” from dense ST data by using a Gaussian process mixture model with block-wise sparse covariance, enabling scalable spatial gene clustering with substantial speedups while preserving accuracy. Together, these components form a coherent system that integrates histology, spatial omics, and scalable probabilistic modeling to deliver nuclei-resolved, interpretable spatial maps of cell communication and expression patterns for biological discovery and clinical translation.

This talk is based on joint work with Tianjie Wang, under the supervision of Prof. Yuanhua Huang.

报告人简历： 李苓玉，香港大学医学院博士后，合作导师为黄渊华副教授。2023 年于山东大学生物医学工程系获博士学位，其间于 2021 至 2023 年获境外交换奖学金资助在香港大学数学系联合培养。研究方向为生物信息学，专注于生物统计模型与机器学习算法的开发，致力于解决生物标志物发现、基因调控网络推断及耐药驱动基因识别等关键科学问题。博士后阶段主要从事多模态人工智能、空间转录组学与医学病理图像分析等方向的研究，以第一作者在 Nature Communications, npj Digital Medicine, Bioinformatics 等期刊发表论文十余篇，合作发表论文 4 篇，总他引次数超过 360 次；曾在 ISMB 2024国际会议作 20 分钟长报告（long talk），并获国际计算生物学会（ISCB）Travel Fellowship。现为国际计算生物学会、中国工业与应用数学学会会员，IEEE BIBM 2026 程序委员会委员；并受邀担任Cell, Genome Research, Bioinformatics等多个知名期刊及 CCF 相关会议审稿人。

欢迎师生参加！

邀请人：邱育珊

国产a片

2026年4月22日