Murat Can Cobanoglu received his B.Sc. in Computer Science & Engineering (major) & Mathematics (minor) in 2008 from Sabanci University, and his M.Sc. in Computer Science & Engineering in 2010 also from Sabanci University. He received his Ph.D. in Computational Biology in 2015 from the Carnegie Mellon University - University of Pittsburgh Joint Ph.D. Program in Computational Biology. He studied the use of machine learning to make a small number of accurate drug predictions to then be experimentally validated under the joint mentorship of Lans Taylor and Ivet Bahar. He then had a brief start-up experience at the CMU incubator space Project Olympus with a Ph.D. classmate, Aaron Wise. Afterwards, he moved to UT Southwestern as the inaugural UT Southwestern Distinguished Fellow to pursue an independent research agenda. The goal of his lab is to build a computational pipeline to predict a small number of targeted cancer therapeutics which can then be validated in advanced clinically relevant assays such as 3D in vitro systems or ex vivo human tumors. The UT Southwestern Office for Technology Development has recently (in 2020) filed two provisional patent applications based on his work, one for a melanoma drug candidate and another for an ER+ breast cancer drug candidate.


Graduate School
Sabanci University (2010), Computer Sciences
Graduate School
Carnegie-Mellon University (2015), Computational Biology

Research Interest

  • Bioimage informatics
  • Cancer
  • Drug discovery
  • Machine learning
  • Single cell RNA/protein expression analysis


Featured Publications LegendFeatured Publications

Classification of GPCRs using family specific motifs.
Cobanoglu MC, Saygin Y, Sezerman U IEEE/ACM Trans Comput Biol Bioinform 2011 Nov-Dec 8 6 1495-508