个人简历

个人背景：
2020/9-至今，四川大学，华西基础医学与法医学院，副教授
2016/07–2020/08，四川大学，华西基础医学与法医学院，助理研究员
2012/09–2016/06，四川大学，华西基础医学与法医学院，博士
2007/09–2012/06，四川大学，华西基础医学与法医学院，学士
科研项目：
基金种类 基金项目名称 金额 （万元） 排名 年度
国家自然科学基金青年项目 CircRNAs标记在人类体液斑鉴定的法医学探索研究（81701866） 20 负责人 2018.01-2020.12
四川大学-专职博士后研发基金 CircRNAs/DNA 复合分析在人类体液斑鉴定的法医学探索研究（2017SCU12049） 15 负责人 2017.01-2018.12
学院“双十人才工程” 华西基础医学与法医学院“双十人才工程”B计划 30负责人2021.01-2023.12

教学工作：
本科教学：
《法医物证学》、《医学遗传学》、《法医世界：全球大案的深度剖析》 主讲教师
在线课程：
《法医物证学》慕课 主讲教师
《基于VR技术的法医现场勘验虚拟仿真教学项目》国家一流课程主讲教师
教材编写：
《法医学（第4版）》，高等教育出版社，编委；
《法医DNA分型专论：方法学》，译者；
《法医DNA分型专论：方法学（原书第三版）》，译者。

研究领域

主要从事法医物证学和法医遗传学的相关研究工作，主要研究方向为：法医学体液斑鉴定的RNA标记研究；人类群体遗传多态性在法医学领域中的应用；新一代测序技术在复杂亲缘关系鉴定的探索研究等。""

近期论文

（1）Feng Song, Haibo Luo, Yiping Hou*.Developed and evaluated a multiplex mRNA profiling system for body fluid identification in Chinese Han population.J Forensic Leg Med. 2015; 35:73-80.
（2）Feng Song, Jienan Li, Lushun Zhang,Haibo Luo*. Population data for 22 autosomal STR loci in the Uygur ethnic minority. Int J Legal Med. 2017;131(3):651-652.
（3）Feng Song, Mingkun Xie, Bowen Xie, Shuangshuang Wang, Miao Liao,Haibo Luo*. Genetic diversity and phylogenetic analysis of 29 Y-STR loci in the Tibetan population from Sichuan Province, Southwest China.Int J Legal Med. 2020;134(2):513-516.
（4）Feng Song, Min Lang, Luyao Li, Yiping Hou*.Forensic features and genetic background exploration of a new 47-autosomal InDel panel in five representative Han populations residing in Northern China. Mol Genet Genomic Med. 2020;8(5):e1224.
（5）Feng Song, Mengyuan Song, Haibo Luo, Mingkun Xie, Xindi Wang, Hao Dai, Yiping Hou*.Paternal genetic structure of Kyrgyz ethnic group in China revealed by high-resolution Y-chromosome STRs and SNPs.Electrophoresis. 2021 Jun 24. doi: 10.1002/elps.202100142.
（6）Chuncao Deng,Feng Song#, Jienan Li, Yi Ye, Lushun Zhang, Weibo Liang,Haibo Luo*, Yingbi Li*.Forensic parameters of 19 X-STR polymorphisms in two Chinese populations. Int J Legal Med.2017;131(4):975-977.
（7）Mingkun Xie,Feng Song#, Jienan Li, Min Lang, Haibo Luo, Zheng Wang, Jin Wu, Changzheng Li, Chenchen Tian, Weizhi Wang, Hong Ma, Zhen Song, Yujie Fan, Yiping Hou*. Genetic substructure and forensic characteristics of Chinese Hui populations using 157 Y-SNPs and 27 Y-STRs. Forensic Sci Int Genet. 2019;41:11-18.
（8）Min Lang, Hai Liu,Feng Song#, Xianhua Qiao, Yi Ye, He Ren, Jienan Li, Jian Huang, Mingkun Xie, Shengjie Chen, Mengyuan Song, Youfang Zhang, Xiaoqin Qian, Taoxiu Yuan, Zheng Wang, Yuming Liu, Mengge Wang, Yacheng Liu, Jing Liu, Yiping Hou*.Forensic characteristics and genetic analysis of both 27 Y-STRs and 143 Y-SNPs in Eastern Han Chinese population. 2019;42:e13-e20.
（9）Bowen Xie,Feng Song#, Shuangshuang Wang, Ke Zhang, Yingbi Li, Haibo Luo*. Exploring a multiplex DNA methylation-based SNP typing method for body fluids identification: As a preliminary report. Forensic Sci Int. 2020; 313: 110329.
（10）Mingkun Xie,Feng Song#, Jienan Li, Bowen Xie, Shuangshuang Wang, Weizhi Wang, Hong Ma,Haibo Luo*. Validation of the AGCU Expressmarker 16 + 22Y Kit: a new multiplex for forensic application. Int J Legal Med. 2020; 134(1):177-183.
（11）Luyao Li,Feng Song #, Min Lang, Jiayi Hou, Zheng Wang, Mechthild Prinz, Yiping Hou*. Methylation-Based Age Prediction Using Pyrosequencing Platform from Seminal Stains in Han Chinese Males. J Forensic Sci. 2020;65(2):610-619.
（12）Shuangshuang Wang,Feng Song#, Mingkun Xie, Ke Zhang, Bowen Xie, zhanglong Huang,Haibo Luo*. Evaluation of a six-dye multiplex composed of 27 markers for forensic analysis and databasing. Mol Genet Genomic Med. 2020; 16;e1419.
（13）Mengyuan Song, Feng Song#, Shuangshuang Wang,Yiping Hou*.Developmental validation of the Yfiler Platinum PCR Amplification Kit for forensic genetic caseworks and databases. Electrophoresis. 2021 Jan;42(1-2):126-133. doi: 10.1002/elps.202000187.
（14）Ke Zhang,Feng Song#, Shuangshuang Wang, Xiaowen Wei, Haoyu Gu,Mingkun Xie,Yuxiang Zhou,Haibo Luo*.Evaluation of the AGCU Expressmarker 30 Kit composed of 31 loci for forensic application. Forensic Sci Int. 2021 Jul;324:110849. doi: 10.1016/j.forsciint.2021.110849.