宋涛，博士，讲师。2015年12月毕业于大连理工大学控制科学与工程学院，获博士学位，2016年3月在大连医科大学任教至今。讲授课程：模拟与数字电路技术，计算机语言与开发，计算机接口技术，概率论与数理统计，计算机高级程序设计，生物统计学，生物信息学。

研究方向：1. 生物信息学；2. 机器学习及其在生物医学中的应用。
   
代表性文章
(1) Tao Song, Hong Gu*. Discovering short linear protein motif based on selective training of profile hidden Markov models. Journal of Theoretical Biology, 2015, 377, 75-84
(2) Tao Song, Xiaoting Bu, Hong Gu*. Combining intrinsic disorder prediction and augmented training of hidden Markov models improves discriminative motif discovery. Chemical Physics Letters, 2015, 634, 243–248
(3) Tao Song, Hong Gu*. Discriminative Motif Discovery via Simulated Evolution and Random Under-Sampling. Plos one, 2014, 9(2): e87670
(4) Hong Gu*, Tao Song. Balanced Sampling Method for Imbalanced Big Data Using AdaBoost. In proceedings of 6th International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2015), Lisbon, Portugal, 2015, 189-194.