Nucleic Acids Research, Bioinformatics, Current Bioinformatics, Animal genetics等著名國際學術期刊審稿人。
求學經歷1999.09-2003.07 吉林大學 計算數學 學士2003.09-2006.07 吉林大學 計算數學 碩士2007.03-2010.06 哈爾濱工業大學 計算機套用技術 博士工作履歷2010.08-2012.12 哈爾濱工業大學 生物醫學工程研究中心 講師2011.11-2012.11 哈佛大學 Dana Farber癌症研究所 訪問學者2013.12-至今 哈爾濱工業大學 生物醫學工程研究中心 副教授研究方向主要研究方向：生物信息學。建立長鏈非編碼RNA(long noncoding RNA, lncRNA)綜合分析平台：發展生物信息學方法，重點研究lncRNA的轉錄調控、lncRNA靶基因識別、調控網路構建、功能注釋及疾病lncRNA預測技術，開發集數據中心、分析平台、知識庫於一體的lncRNA分析系統，推動在基因組範圍內對lncRNA調控機制及功能的理解。
主持的科研項目2012.07-2015.06，哈工大基礎研究傑出人才培育計畫III類2012.01-2014.12，國家自然科學青年基金2012.09-2014.12，中國博士後第五批特別資助基金2011.07-2013.12，中國博士後科學基金（一等資助）2011.01-2012.12，哈工大科研創新基金2012.01-2013.12，黑龍江省博士後基金參與的科研項目2010.01-2012.12，國家自然科學基金， 排名：9/22014.01-2017.12，國家自然科學基金， 排名：8/22012.01-2015.12，國家863項目， 排名：17/112015.01-2017.12，國家863重大項目，排名18/69獲得榮譽中國百篇最具影響國際學術論文，排名第一（2010年11月）第十二屆黑龍江省自然科學技術學術成果一等獎，排名第一（2011年6月）
2015Zhang SY, Li X, Ma G, Jiang YS, Liao MZ, Feng RN, Zhang LC, Liu JF, Wang GY, Zhao B,Jiang QH*, Li KS*, Liu GY*. CLU rs9331888 Polymorphism Contributes to Alzheimers Disease Susceptibility in Caucasian But Not East Asian Populations.Molecular Neurobiology. 2015 Jan 30. . (*通訊作者) (SCI,IF=5.286)Jiang QH, Ma R, Wang JX, Wu XL, Jin SL, Peng JJ, Tan RJ, Zhang TJ, Li Y, Wang YD. LncRNA2Function: a comprehensive resource for functional investigation of human lncRNAs based on RNA-seq data.BMC genomics.2015,16(S3):S2. (SCI,IF: 4.041)Bai Y, Ji SF,Jiang QH, Wang YD*. Identification exon skipping events from high-throughput RNA sequencing data.IEEE TRANSACTIONS ON NANOBIOSCIENCE. 2015 (Accepted)Peng JJ, Li HX, Liu YZ, Juan LR,Jiang QH, Wang YD*. InteGO2: a web tool for measuring and visualizing gene semantic similarities using Gene Ontology. 2015 (Accepted)2014Jiang QH, Wang JX, Wu XL, Ma R, Jin SL, Han ZJ, Tan RJ, Peng JJ, Liu GY, Li Y, Wang YD. LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression. 2014.Nucleic Acids Research. DOI 10.1093/nar/gku1173 (SCI,IF: 8.808)Quan BK, Qi XS, Yu ZH, Jiang YS, Liao MZ, Wang GY, Feng RN, Zhang LC, Chen ZG,Jiang QH*, Liu GY*. Pathway analysis of genome-wide association study and transcriptome data highlights new biological pathways in colorectal cancer. 2014.Molecular Genetics and Genomics. DOI 10.1007/s00438-014-0945-y. (*通訊作者) (SCI,IF: 2.831)Liu GY, Bao XJ, Jiang Y,S Liao MZ,Jiang QH, Feng RN, Zhang LC, Ma GD, Chen ZG, Wang GY, Wang RZ, Zhao B, Li KS.Identifying the Association Between Alzheimers Disease and Parkinsons Disease Using Genome-Wide Association Studies and Protein-Protein Interaction Network. 2014.Molecular Neurobiology. DOI 10.1007/s12035-014-8946-8 (SCI,IF=5.286)Li X, Shen N, Zhang SY, Liu JF,Jiang QH, Liao MZ, Feng RN, Zhang LC, Wang GY, Ma GD, Zhou HH, Chen ZG, Jiang YS*, Zhao B*, Li KS*, Liu GY* (2014) CD33 rs3865444 polymorphism contributes to Alzheimer’s disease susceptibility in European and North American but not Asian populations.Molecular Neurobiology. DOI 10.1007/s12035-014-8880-9 (SCI,IF=5.286)Xiang ZM, Xu ML, Liao MZ, Jiang YS,Jiang QH, Feng RN, Zhang LC, Ma GD, Wang GY, Chen ZG, Zhao B, Sun TS*, Li KS*, Liu GY* (2014) Integrating genome-wide association study and brain expression data highlights cell adhesion molecules and purine metabolism in Alzheimer’s disease.Molecular Neurobiology. DOI 10.1007/s12035-014-8884-5 (SCI,IF=5.286)Peng JJ, Li HX,Jiang QH, Wang YD, Chen J. TITLE: An Integrative Approach for Measuring Semantic Similarities using Gene Ontology.BMC systems biology. 2014, 8 (Suppl 5): S8 (SCI,IF: 2.853)Tan RJ, Wang YD, Kleinstein S, Liu YZ, Zhu XL,Jiang QH, Zhu MF. An Evaluation of Copy Number Variation Detection Tools from Whole-Exome Sequencing Data.Human mutation.2014 Mar 5. doi: 10.1002/humu.22537. (SCI,IF: 5.213)Jin SL, Tan RJ,Jiang QH, Xu L, Peng JJ, Wang Y, Wang YD. A generalized topological entropy for analyzing the complexity of DNA sequences.PLoS One. 2014 Feb 12;9(2):e88519 (SCI,IF: 3.73)Jiang QH, Wang JX, Wang YD, Ma R, Wu XL, Li Y. TF2LncRNA: Identifying common transcription factors for a list of lncRNA genes from ChIP-Seq data.BioMed Research International. vol. 2014, Article ID 317642, 5 pages, 2014. doi:10.1155/2014/317642 (SCI,IF: 2.706)2013Jiang QH, Wang GH, Li Y, Jin SL, Wang YD. Predicting Human microRNA-disease Associations Based on Support Vector Machine. International Journal of Data Mining and Bioinformatics. 2013.vol.8, No.3. 282-2392012Jin SL, Xu L,Jiang QH*, Duan GR. A Joint Spectral Characterization of C* Independence. Infinite Dimensional Analysis Quantum Probability and Related Topics. Vol. 15, No. 2 (2012) 1250013:1-5 ( *通訊作者)Jin SL, Jiang QH*, Wang YD*, Duan GR. On joint spectrum of infinite direct sums. Operators and Matrices. Vol. 6, No. 3 (2012), 529–533 ( *通訊作者)Jin SL, Xu L, Jiang QH* and L Li*. Conditions equivalent to C* independence, Studia Math. 2012,211, 191-197 ( *通訊作者)Jin SL, Xu L, Jiang QH. Joint Spectrum and Joint Distribution. Complex analysis and operator theory. 2012. DOI 10.1007/s11785-012-0258-22011Zhu SJ, Jiang QH, Wang GH, Liu B, Teng MX, Wang YD. Chromatin structure characteristics of pre-miRNA genomic sequences. BMC genomics.2011. 12(1):329.2010Jiang QH, Hao YY, Wang GH, Juan LR, Zhang TJ, Teng MX, Liu YL, Wang YD. Prioritization of disease microRNAs through a human phenome-microRNAome network, Bmc Systems Biology, 2010, 4 Suppl 1, S2.Jiang QH, Hao YY, Wang GH, Zhang TJ, Wang YD. Weighted network-based inference of human microRNA-disease associations. The 5th International Conference on Frontier of Computer Science and Technology - Workshop on Bioinformatics and System Biology. 2010. 431-435Jiang QH, Wang GH, Wang YD. An approach for prioritizing disease-related microRNAs based on genomic data integration. The 3rd International Conference on BioMedical Engineering and Informatics. 2010. 2270-22742009Jiang QH, Wang YD, Hao YY, Juan LR, Teng MX, Zhang XJ, Li MM, Wang GH, Liu YL. miR2Disease: a manually curated database for microRNA deregulation in human disease. Nucleic Acids Res．2009，37: D98-104
生物信息學（本科生課程）
蔣慶華副教授歡迎所有喜歡閱讀頂級期刊論文，希望在哈工大生命學院攻讀碩士學位並以發表學術論文為樂趣的有志青年加入他的研究團隊，有意者可致信qhjiang at hit.edu.cn。對於沒有任何編程及信息技術基礎的學生，蔣慶華副教授會用大約半年的時間與他們一起學習經典實用的程式語言（R、Python等），指導學生掌握基本的統計與數據挖掘方法，發現並跟蹤最前沿的生命科學熱點問題，並用所學的編程技能及信息學方法解決這些問題。蔣慶華副教授鼓勵他的學生將科研作為畢生的追求和事業，支持他的學生在畢業後繼續攻讀博士學位（出國攻博或公派出國進行二年的博士生聯合培養）。