Jul. 2014 - Jul. 2019  Ph.D. Biomedical Engineering, School of Life Sciences, East China Normal University

Sep.2010 - Jul. 2014 B.S. Information Management and Information Systems, Department of Information Management, Nankai University

Jul. 2023 - Present Assistant Researcher, BNRist, Tsinghua University
Jul. 2020 - Jul. 2023 Postdoctoral Fellow, Department of Automation, Tsinghua University
Jul.2019 - Jul. 2020 Postdoctoral Fellow, Harvard Medical School

(1)AI Foundational Models of Life and Digital Life

(2)Machine Learning and Bioinformatics

(3)Precision Medicine for Vascular Diseases

Her main research areas include bioinformatics, pan-vascular single-cell atlases and virtual cells, AI foundational models for life and digital life. She focuses on developing computational frameworks to decode cellular heterogeneity, spatial-temporal dynamics, and regulatory networks in complex vascular diseases. She has published multiple peer-reviewed articles in the fields of computational biology, systems medicine, and single-cell multi-omics. Her work contributes to bridging molecular insights with clinical translation, supporting precision medicine in cardiovascular and related diseases.

(1) Shanghai Outstanding Graduate Award（ 2019）

(2) National Scholarship（ 2018）

[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