2002-2006，南京大学化学系,获理学学士学位2006-2011，美国马萨诸塞大学阿默斯特分校(UMass-Amherst)，获哲学博士学位2011-2013，美国加州斯克利普斯（Scripps）研究所，博士后2013.9-至今中国科学院生物与化学交叉研究中心研究员、课题组长朱正江课题组主要发展基于质谱技术的代谢组学先方法，并将代谢组学技术应用于研究与健康、疾病相关的生命医学问题。具体方向为（1）发展新型质谱方法结合生物信息学实现高通量、全定量代谢组学技术；（2）代谢组学生物信息学平台及代谢物数据库建设；（3）运用代谢组学技术研究衰老及神经退行性疾病

{"awards": " Proctor and Gamble杰出研究奖, University of Massachusetts -Amherst (2010)Marvin D. Rausch杰出墙报奖，University of Massachusetts -Amherst (2008)南京大学化学优秀实验奖 (2006) 南京大学德尔奖学金 (2004) ", "lunzhu": " 1.H. Zha, Y. Cai, Y. Yin, Z. Wang, K. Li, and Z.-J. Zhu*, SWATHtoMRM: Development of High-Coverage Targeted Metabolomics Method Using SWATH Technology for Biomarker Discovery, Analytical Chemistry, 2018, In Press. 2.J. Tu, Y. Yin, M. Xu, R. Wang, and Z.-J. Zhu*, Absolute Quantitative Lipidomics Reveals Lipidome-Wide Alterations in Aging Brain, Metabolomics, 2018, 14: 5. 3.Z. Zhou, J. Tu, and Z.-J. Zhu*, Advancing the Large-Scale CCS Database for Metabolomics and Lipidomics at the Machine-Learning Era, Current Opinion in Chemical Biology, 2018, 42, 34-41. 4.Z. Zhou, J. Tu, X. Xiong, X. Shen, and Z.-J. Zhu*, LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision to Support Ion Mobility-Mass Spectrometry based Lipidomics, Analytical Chemistry, 2017, 89, 9559–9566. 5.Z. Zhou, X. Xiong, and Z.-J. Zhu*, MetCCS Predictor: A Web Server for Predicting Collision Cross-Section Values of Metabolites in Metabolomics, Bioinformatics, 2017, 33, 2235-2237. 6.Z. Zhou, X. Shen, J. Tu, and Z.-J. Zhu*, Large-Scale Prediction of Collision Cross-Section Values for Metabolites in Ion Mobility - Mass Spectrometry, Analytical Chemistry, 2016, 88, 11084-11091. 7.H. Li, Y. Cai, Y. Guo, F. Chen, and Z.-J. Zhu*, MetDIA: Targeted Metabolite Extraction of Multiplexed MS/MS Spectra Generated by Data-Independent Acquisition, Analytical Chemistry, 2016, 88, 8757-8764. 8.J. Wang*, T. Zhang, X. Shen, J. Liu, D. Zhao, Y. Sun, L. Wang, Y. Liu, X. Gong, Y. Liu, Z.-J. Zhu*, and F. Xue*, Serum Metabolomics for Early Diagnosis of Esophageal Squamous Cell Carcinoma by UHPLC-QTOF/MS, Metabolomics, 2016, 12: 116. 9.X. Shen, X. Gong, Y. Cai, Y. Guo, J. Tu, H. Li, T. Zhang, J. Wang, F. Xue, and Z.-J. Zhu*, Normalization and Integration of Large-Scale Metabolomics Data Using Support Vector Regression, Metabolomics, 2016, 12: 89. 10.Y. Cai, K. Weng, Y. Guo, J. Peng, and Z.-J. Zhu*, An Integrated Targeted Metabolomic Platform for High-Throughput Metabolite Profiling and Automated Data Processing, Metabolomics, 2015, 11, 1575-1586. "}