#  Doga Gulhan 

Assistant Professor

 

 

 



   ![Doga Gulhan](/sites/g/files/omnuum3501/files/styles/hwp_4_5__480x600/public/dms/files/doga_gulhan.jpg?itok=E_JsGglI) 

 



 

 location\_on MGH Cancer Center CNY 149 13th Street Charlestown, MA 02129 

 email <dgulhan@mgh.harvard.edu> 

 laptop\_windows [Lab Website](https://gulhanlab.mgh.harvard.edu/) 

 laptop\_windows [Publications](https://gulhanlab.mgh.harvard.edu/publications/) 

 

 



 

Doga is the Principal Investigator of Gulhan Lab at Mass General Hospital (MGH) [Cancer Center](https://www.massgeneral.org/cancer-center/clinical-trials-and-research/center-for-cancer-research/investigators/gulhan-lab) and an Assitant Professor of Medicine and [Biomedical Informatics](https://dbmi.hms.harvard.edu/people/doga-gulhan) (Secondary) at Harvard Medical School (HMS). She received her Bachelor of Science degree from Bilkent University's Physics Department. She completed her Ph.D. in high-energy physics at the [Massachusetts Institute of Technology](https://mithig.mit.edu/about) and worked as a Research Fellow at CERN. After transitioning to biomedical informatics, she joined [Park Lab](https://compbio.hms.harvard.edu/index) at the [Department of Biomedical Informatics](https://dbmi.hms.harvard.edu/) (DBMI), HMS as a postdoctoral fellow. She studied mutational processes in cancer using signature analysis techniques. She contributed new algorithms to this emerging field that expanded its clinical applications by enabling [signature prediction from targeted gene panels](https://www.nature.com/articles/s41588-019-0390-2) and [robust signature discovery and assignments](https://www.nature.com/articles/s41588-024-01659-0) from whole exome and genome datasets. Additionally, she studied immunogenomic and molecular characteristics of tumors with repair deficiencies.  
Her research program is dedicated to developing a comprehensive suite of tools for deciphering cancer genomes profiled through liquid and tissue biopsies. These tools target early cancer detection, patient classification and tumor evolution.

 

 

 





 

 

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