Duygu Ucar, Ph.D.

Associate Professor

Develops computational models using genome datasets to study gene regulation and identify hypotheses for genomic medicine.

Next-generation sequencing technologies have revolutionized biological research and provided unique opportunities to study broad and novel questions about the regulation of gene expression. With these technologies, there has been an exponential increase in the types and amount of high-throughput datasets pertaining to the dynamics of gene expression. These data include gene expression data and genome-wide maps of nucleosome occupancy and open chromatin, epigenetic marks and transcription factor binding sites in cells and organisms under various experimental conditions. In my lab, we develop computational models to take advantage of genomics datasets to study the dynamics and mechanisms of transcriptional gene regulation and identify testable hypotheses for genomic medicine.

Visit the Ucar Personal Lab Site

 Duygu Ucar on Google Scholar 

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Grants, honors and accomplishments

2009 - NSF Computing Innovation Postdoctoral Fellowship 

2009 - Travel Award to attend International Society for Computational Biology conference ISMB 

2009 - Travel Award to attend SIAM Data Mining Conference SDM

2007 - Best Applications Paper, ACM Knowledge Discovery and Data mining conference(Sig-KDD’2007) 

2007 - Travel Award to attend Institute for Pure and Applied Mathematics (IPAM) workshop, UCLA 

1998 - 2003 - Dean’s Honors, Bilkent University, Turkey, 

1998 - 2003 - Full scholarship, Bilkent University, Turkey