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    个人信息

    戴晓峰


    【个人简介】
    姓 名 戴晓峰
    性 别 女
    出生日期 1980年12月8日
    职 称 副教授,硕导
    电 话 18611479958
    传 真 0510-85329306
    E-mail xiaofeng.dai@me.com


    【学术简介】
    2014/02 – 至今,  江南大学,生物工程学院国家工程实验室,副教授
    2011/02 – 2013/09,赫尔辛基大学中心医院(芬兰),妇产科,博士后
    2010/02 – 2011/04,芬兰分子医药研究中心(芬兰),博士后
    2011/08 – 2015/12,阿尔托大学(芬兰),商学院,博士(计量经济学,即将毕业)
    2007/03 – 2010/01,坦贝雷工业大学(芬兰),计算与电子工程系,博士(计算系统生物学)
    2007/08 – 2010/01,坦贝雷大学(芬兰),医药技术研究所,硕士(生物信息)
    2003/09 – 2006/07,中国农业科学院,油料作物研究所,硕士(生物化学与分子生物学)


    【研究领域】
    硕士生导师,从事乳腺癌医药分子生物学、遗传学、生物信息学、哺乳动物细胞悬浮培养及发酵等相关领域科研工作。近年来发表学术论文20余篇,其中以第一作者身份发表SCI学术论文15篇,影响因子累积近60分。应邀参加国际学术会议并做大会报告10余次。


    【主要论著】
    X.F. Dai, A. Chen, Z. Bai, “Integrative investigation on breast cancer in ER, PR and HER2-defined subgroups using mRNA and miRNA expression profiling”, Scientific Reports, 2014, vol. 4, no. 6566.

    X.F. Dai, L. Li, X. Liu, W. Hu, Y. Yang, Z. Bai, “Cooperation of DLC1 and CDK6 affects breast cancer clinical outcome”, G3: Genes, Genomes, Genetics, 2014, doi:10.1534/g3.114.014894.

    X.F. Dai, R. Fagerholm, S. Rafiq, C. Blomgvist, H. Nevanlinna, “INPP4B and RAD50 have an interactive effect on survival after breast cancer”, Breast Cancer Research and Treatment, 2015, vol. 149, no. 2, 363-371.

    X.F. Dai, W. Guo, Q. Long, L. Harvey, B. McNeil, Z. Bai, “Prediction of soluble heterologous protein expression levels in Escherichia coli from sequence-based features and its potential in biopharmaceutical process development”, Pharmaceutical bioprocessing, 2014, vol. 2, no. 3, 237-251.

    X.F. Dai, T. Kuosmanen, “Best-practice benchmarking using clustering methods: Application to energy regulation”, Omega, 2014, vol. 42, no. 1, 179-188.

    X.F. Dai, O. Yli-Harja, and A.S. Ribeiro, “Determining noisy attractors of delayed stochastic Gene Regulatory Networks from multiple data sources”, Bioinformatics, 2009, vol. 25, no. 18, September, pp. 2362-2368.

    A.S. Ribeiro and X.F. Dai, “Variability of the distribution of differentiation pathway choices regulated by a multipotent delayed stochastic switch”, Journal of Theoretical Biology, 2009, vol. 260, no. 1, pp. 66-76.

    X.F. Dai, Shannon Healy, O. Yli-Harja, and A.S. Ribeiro, “Tuning cell differentiation patterns and single cell dynamics by regulating proteins functionalities in a Toggle Switch”, Journal of Theoretical Biology, 2009, vol. 261, no. 3, pp. 441-448.

    X.F. Dai, T. Erkkilä, O. Yli-Harja and H. Lähdesmäki, “A joint mixture model for clustering genes from Gaussian and beta distributed data”, BMC Bioinformatics, 2009, vol. 10, December, pp. 165.

    X.F. Dai, H. Lähdesmäki, and O. Yli-Harja, “A stratified beta-Gaussian mixture model for clustering genes with multiple data sources”, International Journal On Advances in Life Sciences, 2009, vol. 1, no. 1, pp. 14-25.

    X.F. Dai, O. Yli-Harja, and H. Lähdesmäki, “Novel Data Fusion Method and Exploration of Multiple Information Sources for Transcription Factor Target Gene Prediction”, EURASIP Journal on Advances in Signal Processing, 2010, vol. 2010, 235795, doi:10.1155/2010/235795.

    X.F. Dai, “Non-parametric efficiency estimation using Richardson-Lucy blind deconvolution”, European Journal of Operational Research, 2015, doi:10.1016/j.ejor.2015.08.004.

    X.F. Dai, Z.Q. Liu, S.H. Zhang, “EPS15 over-expression is prognostic of good clinical outcome in breast cancer”, 2015, Molecular BioSystems, accepted.

    X.F. Dai, W. Guo, C. Zhan, X. Liu, Z. Bai, Y. Yang, “WDR5 over-expression is prognostic of poor breast cancer outcome”, PLOS ONE, 2015, accepted.

    X.F. Dai, Y. Li, Z. Bai, X. Tang, “Molecular portraits revealing the heterogeneity of breast tumor subtypes defined using immunohistochemistry markers”, Scientific Reports, 2015, accepted.

    X.F. Dai, T. Li, B. Shi, Z. Bai, “Clinical use and trends on breast cancer intrinsic subtype classification”, American Journal of Cancer Research, 2015, accepted.

    X.F. Dai, T. Li, Z. Bai, “Cancer hallmarks, biomarkers and breast cancer molecular subtypes”, 2015, submitted.

    X.F. Dai, R. Fagerholm, S. Rafiq, P. Heikkilä, K. Aittomki, C. Blomgvist, J. Liu, D. Eccles, H. Nevanlinna, “KDR interacts with ANLN on breast cancer survival”, 2015, in preparation.

    X.F. Dai, R. Fagerholm, S. Khan, S. Rafiq, P. Heikkilä, K. Aittomki, C. Blomgvist, J. Liu, D. Eccles, H. Nevanlinna, “SNRPD1 expression is predictive of survival and anthracycline treatment efficacy in breast cancer”, 2015, in preparation.


    【科研项目】
    主持国内外科研项目多项,主要代表性科研项目如下:
    2015-2018,国家自然科学基金-面上项目“基底型乳腺癌干细胞信号传导网络结构建模”(项目批准号31471251),80万元,课题负责人
    2015-2017,国家高技术研究发展计划(863计划)“规模化动物细胞培养生产病毒疫苗成套装置系统的开发及相应生物过程工程研究”(课题编号:2015AA020802),1859万元,课题骨干
    2011-2013,芬兰科学院国际合作项目“乳腺癌全基因组关联分析”,20万欧元,参与
    2012-2013,芬兰科学院项目“乳腺癌亚型分类研究”,2.5万欧元,主持
    2012-2013,赫尔辛基大学项目“关于影响乳腺癌患者存活率的相互作用基因对的探索研究”,2万欧元,主持
    2011-2011,芬兰科学院项目“乳腺癌个性化药物设计”,2万欧元,参与
    2010-2010,芬兰科学院项目“通过批量基因沉默筛选非遗传性乳腺癌致病基因实验平台的构建”,10万欧元,参与
    2008-2009,坦贝雷工业大学项目“基于混合分布模型的多重数据聚类分析算法设计”,3万欧元,主持
    2012-2014,阿尔托大学项目“构建基于聚类分析的标杆分析法设计”,1万欧元,主持
    2013-2015,艾尔托大学项目“基于反卷积算法的效率分析法设计”,2万欧元,主持

    【荣誉与奖励】
    2009,“国家海外优秀自费留学生奖学金”,国家留学基金委颁发
    2008,“BIOTECHNO国际会议最佳文章奖”,IARIA组委会颁发
    2008,“TISE奖学金”,芬兰坦贝雷工业大学颁发
    2010,“年轻博士奖”,芬兰坦贝雷工业大学颁发

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