Gender: Female

Place of birth: Chuangchun, Jilin, China

Date of birth: 12/18/1975

Email:  ksong@tju.edu.cn

Tel:   +86-18920317821

Research fields

Computional bioloby, Statistical process control, Synthetic biology

Project Experience

Ø  Jan. 2013-Dec.2016. Responsible for “Recognition and analysis of the regulatory motif and essential genes of bacteria genomes”. Supported by the National Natural Science Foundation of P. R. China (No. 31271351), RMB: ￥800,000.00.

Ø  Jan. 2011-Dec.2013. Responsible for “The research and application of synthetic gene circuits' non-linear dynamics”. Supported by the National Natural Science Foundation of P. R. China (No. 31000592), RMB: ￥200,000.00.

Ø  Mar. 2009-Mar.2011. Participated in “Research of the key techniques of on-line measurement of mixture’s Mooney-viscosity”. Responsible for using data-mining techniques to analysis the measurement data. Supported by the 863 Projects of P. R. China (No. 2009AA04Z126).

Ø  Jan. 2008-Dec. 2011. Responsible for “The application of control theory in the research of gene circuit”. Supported by the Doctoral Fund of Ministry of Education of P. R. China (No. 200800561005), RMB: ￥3,600.00.

Ø  Jan. 2008-Dec. 2011. Participated in “Quantitative analysis and the process enhancement of the interaction between environment and cells”. Responsible for the modeling of the interaction process between environment and cells. Supported by the Key Projects of National Natural Science Foundation of P. R. China (No. 20736006).

Ø  Apr.2001 – Aug.2003. Participated in “Intellective mixing process control system project”. Responsible for the development of “Multivariable optimization of arts and crafts” and “On-line prediction and monitoring of rubber mixing process”. Supported by the National Natural Science Foundation of P. R. China (No. 20206028).

Ø  Jun.2000 – Dec.2000. Participated in “Comprehensive automation of industry project” of “211 Project”. Responsible for the development of “Headbox pressure multivariable control system”. Developed a multivariable and non-linear benchmark for other advanced control and monitoring methods.

Awards:

²  National teaching awards: “Exploration and Practice of bioengineering and biotechnology creative professionals and practical ability training” (Second level, Ranked Sixth), 2009

²  "the 2008 International Genetically Engineered Machine Competition (iGEM)", Bronze Medal, Nov. 2008, United States of America, M.I.T. (Supervisor of Tianjin University team)

²  "the 2007 International Genetically Engineered Machine Competition (iGEM)", Gold Medal, Nov. 2007, United States of America, M.I.T. (Supervisor of Tianjin University team)

Books:

Kai Song, “Introduction of Synthetic Biology (in Chinese)”, Science Press, 2010, 02, Beijing, China

Papers:

Bioinformatics for cancer research

1)      Zhe-Wei Qiu, Jia-Hao Bi, Adi Gazdar, *Kai Song, Genome-wide copy number variation pattern analysis and a classification signature for nonsmall cell lung cancer, Genes, Chromosomes and Cancer, 2017, 4, DOI: 10.1002/gcc.22460

2)      Sabine Windhorst, Kai Song, Adi Gazdar, Inositol-1,4,5-trisphosphate 3-kinase-A (ITPKA) is frequently over-expressed and functions as an oncogene in several tumor types, Biochemical Pharmacology, 2017, 4, DOI: 10.1016/j.bcp.2017.03.023

3)      Kelsie L. Thu, Mahboubeh Papari-Zareei, Victor Stastny, Kai Song, et. al. A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas, Oncotarget, 2016, 6, DOI: 10.18632/oncotarget.9929

4)      Yu-An Zhang, Yunyun Zhou, Xin Luo, Kai Song, et. al. SHOX2 is a Potent Independent Biomarker to Predict Survival of WHO Grade II–III Diffuse Gliomas, EBioMedicine , 2016, 13: 80-89

5)      Yu-an Zhang,…,Kai Song,…, Adi Gazdar: Validation of SCT Methylation as a Hallmark Biomarker for Lung Cancers, Journal of Thoracic Oncology, 2016, 11(3) : 346-360

6)      Kai Song, Fei Zhang, et al: Copy number variations distinguish lung adenocarcinomas from squamous cell carcinomas, Genomics, under review.

7)      Chunying Zhang, Luc Girard, Amit Das, Sun Chen, Guangqiang Zheng, and Kai Song: Nonlinear Quantitative Radiation Sensitivity Prediction Model Based on NCI-60 Cancer Cell Lines, The Scientific World Journal, Volume 2014 (2014), Article ID 903602

Bioinformatics for bacteria research

8)      Kai Song Tuopeng Tong Fang Wu: Predicting essential genes in prokaryotic genomes using a linear method: ZUPLS. Integr. Biol., 2014, 6(4):460-9, DOI:10.1039/C3IB40241J.

9)      Sun Chen, Chun-ying Zhang and Kai Song: Recognizing short coding sequences of prokaryotic genome using a novel iteratively adaptive sparse partial least squares algorithm, Biology Direct 2013, 8:23 doi:10.1186/1745-6150-8-23

10)   Kai Song：Recognition of prokaryotic promoters based on a novel variable-window Z-curve method, Nucleic Acids Research, 2012, 40(3): 963-971

11)   Kai Song, Ze Zhang, Tuo-peng Tong, Fang Wu: Classifier assessment and feature selection for recognizing short coding sequences of human genes, Journal of Computational Biology, 2012,19(3): 251-260

Other bioinformatics

12)   Kai Song, Xia Li, Yingjin Yuan: OSC-KPCA based metabolomics pattern analysis for Arabidopsis thaliana genotype discrimination, Journal of Chemical Industry and Engineering (in Chinese), 2007, 58(9): 2341-2346

13)   Zhu Yajuan, Song Kai,Li Ping,Wang Hui : Feedback Control of the Genetic Networks with Time Delay，Proceedings of Fifth World Congress on Intelligent Control and Automation, Hangzhou, China, 2004, 5549-5553.

Others

14)   Ze Zhang, Kai Song, Tuo-peng Tong, Fang Wu: A novel nonlinear adaptive Mooney-viscosity model based on DRPLS-GP algorithm for rubber mixing process, Chemometrics and Intelligent Laboratory Systems, 2012, 112: 17-23

15)   Kai Song, Fang Wu, Tuo-peng Tong and Xiao-jing Wang: A real-time Mooney-viscosity prediction model of the mixed rubber based on the Independent Component Regression-Gaussian Process Algorithm, Journal of Chemometrics, 2012, DOI: 10.1002/cem.2478.

16)   Kai Song, Tuo-peng Tong, Ze Zhang, Fang Wu: A novel partial least squares weighting gaussian process algorithm and its application in near infrared spectroscopy data mining problems. Analytical Methods, 2012, 4 (5), 1395-1400

17)   Kai Song, Haiqing Wang, Ping Li, Zhigang Feng:  Quality Based Prioritized Sensor Fault Monitoring Methodology, Chinese Journal of Chemical Engineering, 2008, 16(4): 1-7

18)   Kai Song, Haiqing Wang, Ping Li: Discounted-measurement RPLS Algorithm and its Application to Quality Control of the Rubber Mixing Process, Journal of Chemical Industry and Engineering, 6, 942-946 (2004), (in Chinese)

19)   Kai Song, Haiqing Wang, Ping Li: VPLS based quality and cost control for Tennessee Eastman process, Chinese Journal of Chemical Engineering, 2005, 1: 61-66，

20)   Kai Song, Haiqing Wang, Ping Li: Quality monitoring of the rubber mixing process by using the discounted-measurement RPLS algorithm, Proceedings of 2003 IEEE International Conference on Systems, Man & Cybernetics, Washington, D.C., U.S.A., 2003, 2348-2353，

21)   Kai Song, Haiqing Wang, Ping Li: GMPLS based Intelligent Quality Control for Internal Rubber Mixing Process, Proceedings of Fifth World Congress on Intelligent Control and Automation, Hangzhou, China, 2004, 3295-3298.

22)   Kai Song, Haiqing Wang, Ping Li: NN-PLS based On-line Component Soft-analyzer for Tennessee Eastman Process, Proceedings of Fifth World Congress on Intelligent Control and Automation, Hangzhou, China, 2004, 3653-3655.