教育背景

2014年7月-2019年7月  华东师范大学生命科学学院 生物医学工程专业 博士

2010年9月-2014年7月  南开大学信息管理系 信息管理与信息系统专业 学士

工作履历

2023年7月-至今 清华大学信息国家研究中心 助理研究员

2020年7月-2023年7月 清华大学自动化系 博士后

2019年7月-2020年7月 哈佛大学医学院 博士后

研究领域

（1）生命基础模型与数基生命

（2）机器学习与生物信息学

（3）血管疾病精准医疗

研究概况

主要研究领域是生物信息学、泛血管细胞图谱与虚拟细胞、生命基础模型与数基生命等。致力于构建计算框架以解析血管疾病中复杂的细胞异质性、时空动态变化及其调控网络，推动多组学数据与临床信息的深度融合，服务于心血管等重大疾病的精准医学研究。在计算生物学、系统医学和单细胞多组学等领域的权威SCI期刊发表多篇研究论文。

奖励与荣誉

（1）荣获上海市优秀毕业生（2019）

（2）荣获国家奖学金（2018）

学术成果

[1] Xi Xi; Jiaqi Li; Jinmeng Jia; Qiuchen Meng; Chen Li; Xiaowo Wang; Lei Wei; Xuegong Zhang; A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions, Nature Communications, 2025, 16(1)

[2] Qun Jiang; Xiaoyang Chen; Zijing Gao; Jinmeng Jia; Shengquan Chen; Rui Jiang; CASHeart: A database of single cells chromatin accessibility for the human heart, Quantitive Biology, 2025, e90

[3] Jinmeng Jia, Xuegong Zhang; Cellular heterogeneity of smc-derived mononuclear phagocytic cells during vascular remodelling, JACC, 2024, 83 (13_Supplement) 2254

[4] Qi Zhang; Xinxin Zhu; Jinmeng Jia; Xia Wang; Yutao Ma; Nan Zhao; Jinhao Liao; Sijia Guan;Jinlong He; Aijuan Qu; Inhibition of Hypoxia Inducible Factor 2αSuppresses Vascular Smooth Muscle Cell Phenotype Switching and Hypertension via Targeting Nox4-Mediated Mitochondrial Oxidative Stress, Journal of the American College of Cardiology, 2024, 84(22)

[5] Meng Ren; Jingru Shi; Jinmeng Jia; Yongli Guo; Xin Ni; Tieliu Shi; Genotype-phenotype correlations of Berardinelli-Seip congenital lipodystrophy and novel candidate genes prediction, Orphanet Journal of Rare Diseases, 2020, 15:108

[6] Yibao Fu; Jinmeng Jia; Lishu Yue; Ruiying Yang; Yongli Guo; Xin Ni; Tieliu Shi; Systematically Analyzing the Pathogenic Variations for Acute Intermittent Porphyria, Frontiers in Pharmacology, 2019, 10: 1018-1029

[7] Jingru Shi; Meng Ren; Jinmeng Jia; Muxue Tang; Yongli Guo; Xin Ni; Tieliu Shi; Genotype-Phenotype Association Analysis Reveals New Pathogenic Factors for Osteogenesis Imperfecta Disease, Frontiers in Pharmacology, 2019, 10(2)

[8] Jinmeng Jia; Ruiyuan Wang; Zhongxin An; Yongli Guo; Xin Ni; Tieliu Shi; RDAD: A Machine Learning System to Support Phenotype-Based Rare Disease Diagnosis, Frontiers in genetics, 2018, 9(9): 1-10

[9] Jinmeng Jia; Zhongxin An; Yue Ming; Yongli Guo; Wei Li; Yunxiang Liang; Dongming Guo; Xin Li; Jun Tai; Geng Chen; Yaqiong Jin; Zhimei Liu; Xin Ni; Tieliu Shi; eRAM: encyclopedia of rare disease annotations for precision medicine, Nucleic Acids Research, 2018, 46(D1): 937-943

[10] Jinmeng Jia; Zhongxin An; Yue Ming; Yongli Guo; Wei Li; Xin Li; Yunxiang Liang; Dongming Guo; Jun Tai; Geng Chen; Yaqiong Jin; Zhimei Liu; Xin Ni; Tieliu Shi; PedAM: a database for Pediatric Disease Annotation and Medicine, Nucleic Acids Research, 2018, 46(D1): 977-983

[11] Jiongmin Zhang; Ke Jia; Jinmeng Jia, Ying Qian; An improved approach to infer protein-protein interaction based on a hierarchical vector space model, BMC Bioinformatics, 2018, 3(21)

[12] Jinmeng Jia; Tieliu Shi; Towards efficiency in rare disease research: what is distinctive and important?, Science China Life Sciences, 2017, 60: 686-691

[13] Jinmeng Jia; Tieliu Shi; RAM: A standards-based database for extracting and analyzing disease-specified concepts from the multitude of biomedical resources, Medicine, Computer Science, 2016, e312