研究兴趣

生物质谱、蛋白质组学、代谢组学、生物信息学、计算蛋白质组、微流控芯片质谱联用、微生物质谱分析、微生物组宏蛋白组

学术任职

• 中国生物化学与分子生物学会蛋白质组学专业分会理事

• 中国微米纳米技术学会微纳流控技术分会理事会理事

• 全国卫生产业企业管理协会实验医学（质谱分析）专家委员会委员

• 中国仪器仪表学会分析仪器分会质谱仪器专家组委员

• 上海市化学化工学会分析化学专业委员会委员

• 上海市化学化工学会大数据与人工智能专业委员会委员

• 《Applied Biochemistry and Biotechnology》, Springer，副主编

• 《Chinese Chemical Letters》，Elsevier，编委

• 《Scientific Reports》，Nature Springer，编委

• 《VIEW》，Wiley，青年编委

• 《高等学校化学学报》青年执行编委

• 《质谱学报》编委

• 《分析测试学报》青年编委

获奖情况

• 美国华人质谱学会（CASMS）授予“CASMS Young Investigator Award 2023”

• 中国物理学会质谱分会授予2020-2023年度“质谱青年奖”提名奖

• 美国化学会Journal of Proteome Research杂志遴选为“2021 Rising Stars in Proteomics and Metabolomics”

• 2020年“横渠杯”上海青年质谱论坛特等奖，上海市分析测试协会

• 2020年获得国家自然科学基金委优秀青年科学基金

• 2015年获得国家高层次人才计划青年项目

学习工作经历

• 2002-2006   复旦大学化学系本科

• 2006-2009   复旦大学化学系硕士

• 2009-2013   瑞士洛桑联邦理工学院化学科学与工程所博士

• 2013-2015   瑞士洛桑联邦理工学院化学科学与工程所博士后

• 2015起     复旦大学研究员、博导

授课情况

• 本科生专业基础课《分析化学AII》

• 本科生专业基础课《仪器分析实验》

• 博士生专业必修课《生物质谱仪器和质谱分析》

• 博士生专业必修课《科学研究立项导论》

• 本科生/研究生选修课《人工智能在分析化学中的应用》

代表性论文或专著

• Y. Zong, Y. Wang, X. Qiu, X. Huang, L. Qiao*, Deep Learning Prediction of Glycopeptide Tandem Mass Spectra Powers Glycoproteomics, Nature Machine Intelligence, 2024, 6, 950–961

• D. Zhang, F. Yin, Q. Qin, L. Qiao*, Molecular Responses During Bacterial Filamentation Reveal Inhibition Methods of Drug Resistant Bacteria, PNAS, 2023, 120, e2301170120

• Y. Zong, Y. Wang, Y. Yang, D. Zhao, X. Wang, C. Shen, L. Qiao*, DeepFLR Facilitates False Localization Rate Control in Phosphoproteomics, Nature Communications, 2023, 14, 2269

• Y. Yang, G. Yan, S. Kong, M. Wu, P. Yang, W. Cao*, L. Qiao*, GproDIA enables data-independent acquisition glycoproteomics with comprehensive statistical control, Nature Communications, 2021, 12, 6073

• Y. Yang, X. Liu, C. Shen, Y. Lin, P. Yang, L. Qiao*, In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics, Nature Communications, 2020, 11, 146

• R. Zhang, Y. He, J. Yi, L. Zhang, C. Shen, S. Liu, L. Liu, B. Liu, L. Qiao*, Proteomic and Metabolic Elucidation of Solar Powered Biomanufacturing by Bio-Abiotic Hybrid System, Chem, 2020, 6, 234–249

• E. Wu, V. Mallawaarachchi, J. Zhao, Y. Yang, H. Liu, X. Wang, C. Shen, Y. Lin, L. Qiao*, Contigs directed gene annotation (ConDiGA) for accurate protein sequence database construction in metaproteomics, Microbiome, 2024, 12, 58

• Y. Wang, Z. Wang, Y. Zou, L. Lin*, L. Qiao*, Single-cell time-resolved metabolomics and lipidomics reveal apoptotic and ferroptotic heterogeneity during foam cell formation, Analytical Chemistry, 2024, 96, 14621–14629

• E. Wu, Y. Yang, J. Zhao, J. Zheng, X. Wang, C. Shen, L. Qiao*, High-Abundance Protein-Guided Hybrid Spectral Library for Data-Independent Acquisition Metaproteomics, Analytical Chemistry, 2024, 96, 1029–1037

• Z. Wang, B. Liu, L. Lin*, L. Qiao*, Mass Spectrometry for Mitochondrial Multi-omics, Trends in Analytical Chemistry, 2023, 163, 117063

• J. Zhao, Y. Yang, H. Xu, J. Zheng, C. Shen, T. Chen, T. Wang, B. Wang, J. Yi, D. Zhao, E. Wu, Q. Qin*, L. Xia*, L. Qiao*, Data-independent acquisition boosts quantitative metaproteomics for deep characterization of gut microbiota, npj Biofilms and Microbiomes, 2023, 9, 4

• Y. Dai, C. Li, J. Yi, Q. Qin, B. Liu, L. Qiao*, Plasmonic Colloidosomes Coupled MALDI-TOF MS for Bacterial Heteroresistance Study at Single-Cell Level, Analytical Chemistry, 2020, 92, 8051–8057

• S. Long, Y. Yang, C. Shen, Y. Wang, A. Deng, Q. Qin*, L. Qiao*, Metaproteomics characterizes human gut microbiome function in colorectal cancer, npj Biofilms and Microbiomes, 2020, 6, 14

• D. Zhang, Y. Yang, Q. Qin, J. Xu, B. Wang, J. Chen, B. Liu, W. Zhang*, L. Qiao*, MALDI-TOF Characterization of Protein Expression Mutation During Morphological Changes of Bacteria Under the Impact of Antibiotics, Analytical Chemistry, 2019, 91, 2352–2359

• L. Qiao, J. Yi, Detection and Analysis of Microorganisms by Mass Spectrometry, Royal Society of Chemistry, 2023, DOI: https://doi.org/10.1039/9781837670338, ISBN: 978-1-83916-763-8