DML
DML Sharif University of Technology

Morteza Kouhsar

Group Bioinformatics and Computational Biology
Entrance 2020

I received my BSc in Computer science from Golestan university in 2010. In the next year, I was accepted into the department of Computer science, Tarbiat Modares University as an M.Sc. student. I graduated from Tarbiat Modares University under the supervision of Dr. Yousef Jamali and Dr. Fateme Zare (Amirkabir University of Technology) in 2014. In my MSc, I was interested in Bioinformatics and Biological data analysis. This interest helped me to begin my first research project on biological data mining (Protein-Protein Interaction network analysis) at Tarbiat Modares University. It made me decide to follow the Bioinformatics in the Institute of Biochemistry and Bioinformatics (IBB), the University of Tehran as a Ph.D. student. In my Ph.D. I collaborated with Aarhus University in Denmark to study an RNA-Seq dataset from 476 samples of early-stage bladder cancer in order to predict novel candidate biomarkers and the results were published in the Scientific Reports journal. I continued biological data analysis researches for 5 years and finally, I graduated with a Ph.D. degree under the supervision of Prof. Ali Masoudi-Nejad and Prof. Ali Moeini in Jun 2019. After a year of cooperation with Amirkabir University of Technology and Sharif University as a lecturer and researcher, I moved to the UK and joined the Medical College of the University of Exeter. Now I am a postdoctoral research fellow in the Complex Disease Epigenetics Group at the medical college of the University of Exeter. My main background is Biological Network and Omics data analysis. I am also interested in Graph Theory and Algorithms, Machine Learning, Deep Learning, and their application in Bioinformatics.

CircWalk: Predicting CircRNA-Disease Associations using Graph Representation Learning's cover
CircWalk: Predicting CircRNA-Disease Associations using Graph Representation Learning

Feb. 20, 2022, 8 a.m.

Identifying cancer-related genes via network feature learning and multi-omics data integration's cover
Identifying cancer-related genes via network feature learning and multi-omics data integration

None

Mutational Network Analysis's cover
Mutational Network Analysis

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