Main Discipline(s):
Main Professional Societies:
Affiliation(s):
- Machine Learning
- Bioinformatics
- Association for Computing Machinery (ACM)
- Assistant Professor, Department of Computer Science, Wayne State University
- B.Sc. in Computer Engineering, Baskent University, Ankara, Turkey
- M.Sc. in Computer Science Oakland University, MI
- Ph.D. in Computer Science and Informatics Oakland University, MI
Due to limited availability of molecular data and the infrequency of lethal prostate cancer, scientists have not been successful in discovering clinically useful molecular biomarkers of prostate cancer that can accurately detect lethal prostate cancer and predict the outcomes of its treatments. Oncologists have discovered remarkable biological similarities between breast, ovarian and prostate cancers, which suggests biomarker commonality across these cancers. This discovery presents unique opportunities in synthesizing knowledge from other cancers with prostate cancer. Computer scientists’ progress in harnessing information and transfer of knowledge across different fields makes it possible to discover prostate cancer biomarkers.
My current research area is to discover clinically useful prostate cancer biomarkers by synthesizing knowledge from breast and ovarian cancers and reposition existing drugs using biological mechanisms impacted by these biomarkers.
Clinically relevant biomarkers discovery of multiple cancers as it will help clinicians better differentiate between treatment options for those with lethal and less harmful cancers, guide their clinical decision making and treatment planning specific to patient’s characteristics. Benefits will be realized through avoidance of over-treating certain indolent cancers and more aggressive and timely start of treatment for aggressive and lethal cancers.