The knowledge and experience I gained at KAUST were very relevant to my work. Moreover, they are key drivers for my success in many accomplishments that I had received.

Majed Alzahrani obtained PhD degree in Computer Science from King Abdullah University of Science and Technology in 2017. His PhD thesis supervisor was Professor Xin Gao. After graduating, he joined Saudi Aramco as a data scientist in its Drilling Data Science unit. Working in one of the largest companies in the world is a dream come true for many, for Majed Alzahrani, things couldn't be better.

Research Interest

Majed's research interests were in machine learning, structural bioinformatics, synthetic biology.

Selected Publications

Alzahrani, M. A. (2017). Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering, (Dissertation).
Al-Shedivat, M., Wang, J. J.-Y., Alzahrani, M., Huang, J. Z., Gao, X. (2014). Supervised Transfer Sparse Coding, the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014.
Wang, J. J.-Y., Alzahrani, M., & Gao, X. (2014). Large margin image set representation and classification. 2014 International Joint Conference on Neural Networks (IJCNN). doi:10.1109/ijcnn.2014.6889378
Ryu, T. W., Seridi, L., Moitinho-Silva, L., Oates, M., Liew, Y., Mavromatis, C. H., Wang, X., Haywood, A., Lafi, F., Kupresanin, M., Sougrat, R., Alzahrani, M. A., Giles, E., Ghosheh, Y., Schunter, C. M., Baumgarten, S., Berumen, M., Gao, X., Aranda, M., Foret, S., Gough, J., Voolstra, C., Hentschel, U., Ravasi, T. (2016). Supplementary Material for: Hologenome analysis of two marine sponges with different microbiomes, (Dataset). doi:10.6084/m9.figshare.c.3597026
Alzahrani, M., Kuwahara, H., Wang, W., & Gao, X. (2017). Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data. Bioinformatics, 33(16), 2523–2531. doi:10.1093/bioinformatics/btx199