高峰(副研究员,博士生导师)

研究方向:结合人工智能加速分析PB级超大规模高通量多模态生物医学大数据,利用预训练大模型开发用于肿瘤精准医学的筛查、早期诊断、精确分型、敏感药物筛选、疗效监控和预后判断等分子诊断技术和人工智能系统。


课题组主页:fenggaolab.org


中山大学百人计划青年学术骨干,任国家智能社会治理实验专家组成员,上海人工智能实验室顾问,Life、Frontiers 等SCI杂志客座主编等。作为ICGC-ARGO 肠癌项目数据分析负责人,团队已建立病人队列全周期的高通量组学、数字病理、医学影像等PB级大数据及分析平台。近年在Gastroenterology、Hepatology、Medical Image Analysis 等发表SCI论文40余篇(2018-2022,总影响因子 > 400分,其中10分以上15篇),其中第一作者及通讯作者(含共同贡献)30余篇(总影响因子近300分),并开发多个生物医学数据分析工具DeepCC、HTSanalyzeR2、3D RP-Net 等,申请20余项国家发明专利,已授权8项。

教育经历:

2015 – 2018 香港城市大学和美国康奈尔大学联合培养,计算肿瘤学,直攻博士
2005 – 2009 山东大学,计算机科学与技术学院,工学学士


代表性论文代表性项目荣誉

(# co-1st author;* co-corresponding)

1, Feng Gao#*, Minhao Hu#, Min-Er Zhong#, Shixiang Feng#, Xuwei Tian#, Xiaochun Meng#, Zeping Huang, Minyi Lv, Tao Song, Xiaofan Zhang,* Xiaoguang Zou*, Xiaojian Wu*
; Segmentation Only Uses Sparse Annotations: Unified Weakly and Semi-Supervised Learning in Medical Images, Medical Image Analysis, 2022, 80:102515
2,  Cheng Jin#; Heng Yu#; Jia Ke#; Peirong Ding#; Yongju Yi; Xiaofeng Jiang; Xin Duan; Jinghua Ta ng; Daniel T. Chang; Xiaojian Wu*; Feng Gao*; Ruijiang Li*; Predicting treatment response from longitudinal images using multi-task deep learning, Nature Communications, 2021, 12(1): 0-1851 
3, Feng Gao; Wei Wang; Miaomiao Tan; Lina Zhu; Yuchen Zhang; Evelyn Fessler; Louis Vermeulen*; Xin Wang*; DeepCC: a novel deep learning-based framework for cancer molecular subtype classification, Oncogenesis, 2019, 8(9): 0-44 
4, Raju Kandimalla#; Tsuyoshi Ozawa#; Feng Gao#; Xin Wang*; Ajay Goel*; T1 Colorectal Cancer Study Group; Gene Expression Signature in Surgical Tissues and Endoscopic Biopsies Identifies High-risk T1 Colorectal Cancers, Gastroenterology, 2019, 156(p8): 2338-+ 
5,  Tsuyoshi Ozawa#; Raju Kandimalla#; Feng Gao#; Hiroaki Nozawa; Keisuke Hata; Hiroshi Nagata; Satoshi Okada; Daisuke Izumi; Hideo Baba; James Fleshman; Xin Wang; Toshiaki Watanabe; Ajay Goel*; A MicroRNA Signature Associated With Metastasis of T1 Colorectal Cancers to Lymph Nodes, Gastroenterology, 2018, 154(4): 844