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Olga Glebova


B.S., Mathematics, Belarus State University, 2009
M.S., Mathematics, Belarus State University, 2010
Ph.D., Computer Science, Georgia State University, 2016


Bioinformatics, graph theory, combinatorics, computer science education


My research focuses on the development of novel bioinformatics methods associated with the application of modern sequencing technologies to studying RNA viruses and transcriptomes. Several of the algorithms I developed were incorporated into GHOST (Global Hepatitis Outbreak and Surveillance Technology), a surveillance framework created by the Centers for Disease Control and Prevention.

I have been teaching at the university level since 2010 and enjoying it very much. I am interested in pedagogical advances in teaching computer science and other STEM courses as well as cognitive aspects of learning.

I am a big supporter of the Association for Computing Machinery (ACM), the world’s largest educational and scientific computing society. As a student, I served first as secretary and then later as chair of GSU’s student chapter. I am currently a faculty advisor for the chapter.


O. Glebova, S. Knyazev, A. Melnick, A. Artyomenko, P. Skums, and A. Zelikovsky, Inference of genetic relatedness between viral populations, to appear in BMC Genomics.

O. Glebova, Y. Temate-Tiagueu, A. Caciula, S. Al Seesi, A. Artyomenko, S. Mangul, J. Lindsay, I. I. Mandoiu, and A. Zelikovsky, Transcriptome quantification and differential expression from NGS data, in Computational Methods for Next Generation Sequencing Data Analysis (I. Mandoiu and A. Zelikovsky, eds.), Wiley, 2016, pp. 301–327.

P. Skums, A. Artyomenko, O. Glebova, S. Ramachandran, I. Mandoiu, D. S. Campo, Z. Dimitrova, A. Zelikovsky, and Y. Khudyakov, Computational framework for next-generation sequencing of heterogeneous viral populations using combinatorial pooling, Bioinformatics, vol. 31, no. 5, 2015, pp. 682–690.

A. Caciula, O. Glebova, A. Artyomenko, S. Mangul, J. Lindsay, I. I. Mandoiu, A. Zelikovsky, Deterministic regression algorithm for transcriptome frequency estimation, Proceedings of the 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS).

P. Skums, O. Glebova, A. Zelikovsky, Z. Dimitrova, D. S. C. Rendon, L. Ganova-Raeva, and Y. Khudyakov, Alignment of DNA mass-spectral profiles using network flows, Proceedings of the 9th International Symposium on Bioinformatics Research and Applications (ISBRA 2013), published as Bioinformatics Research and Applications (Z. Cai, O. Eulenstein, D. Janies, and D. Schwartz, eds.), Lecture Notes in Computer Science, vol. 7875, Springer-Verlag, pp. 149–160.