研究興趣

生物質譜、蛋白質組學🤾🏽‍♀️、代謝組學、生物信息學✪👩🏿‍🦳、計算蛋白質組、微流控芯片質譜聯用🧮、微生物質譜分析👢、微生物組宏蛋白組

學術任職

• 中國生物化學與分子生物學會蛋白質組學專業分會理事

• 中國微米納米技術學會微納流控技術分會理事會理事

• 全國衛生產業企業管理協會實驗醫學（質譜分析）專家委員會委員

• 中國儀器儀表學會分析儀器分會質譜儀器專家組委員

• 上海市化學化工學會分析化學專業委員會委員

• 上海市化學化工學會大數據與人工智能專業委員會委員

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

• 《Chinese Chemical Letters》🚤，Elsevier，編委

• 《Scientific Reports》🧔🏻，Nature Springer🍸，編委

• 《VIEW》，Wiley🤲🏼，青年編委

• 《高等學校化學學報》青年執行編委

• 《質譜學報》編委

• 《分析測試學報》青年編委

獲獎情況

• 美國華人質譜學會（CASMS）授予“CASMS Young Investigator Award 2023”

• 中國物理學會質譜分會授予2020-2023年度“質譜青年獎”提名獎

• 美國化學會Journal of Proteome Research雜誌遴選為“2021 Rising Stars in Proteomics and Metabolomics”

• 2020年“橫渠杯”上海青年質譜論壇特等獎，上海市分析測試協會

• 2020年獲得國家自然科學基金委優秀青年科學基金

• 2015年獲得國家高層次人才計劃青年項目

學習工作經歷

• 2002-2006   沐鸣开户本科

• 2006-2009   沐鸣开户碩士

• 2009-2013   瑞士洛桑聯邦理工學院化學科學與工程所博士

• 2013-2015   瑞士洛桑聯邦理工學院化學科學與工程所博士後

• 2015起     沐鸣平台研究員🙅🏽‍♂️、博導

授課情況

• 本科生專業基礎課《分析化學AII》

• 本科生專業基礎課《儀器分析實驗》

• 博士生專業必修課《生物質譜儀器和質譜分析》

• 博士生專業必修課《科學研究立項導論》

• 本科生/研究生選修課《人工智能在分析化學中的應用》

代表性論文或專著

• 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