Suleyman Vural

Suleyman Vural, PhD, is a Bioinformatics Software Engineer at Memorial Sloan Kettering Cancer Center since March 2020, previously serving as a Post-doctoral Research Fellow at the National Cancer Institute from January 2016 to March 2020 where research focused on genomic mutational signatures and drug response. Experience includes developing high-performance computational code using Python and R, applying machine learning and deep neural networks to predict drug responses, and conducting statistical analyses of complex datasets. Prior research roles at UNMC and the University at Albany involved machine learning classification methods for breast cancer and bioinformatics applications in protein sequence analysis and database management. Suleyman Vural earned a PhD in Bioinformatics from the University of Nebraska Medical Center and holds an MS in Computer Science from the University at Albany, alongside a Bachelor of Engineering in Electrical Engineering from Eskişehir Osmangazi Üniversitesi.