Emine Guven, MSc, Ph.D.
Emine Guven, MSc, Ph.D.
Summary
Dr. Guven is a distinguished professional in the field of Bioinformatics, currently serving as a Bioinformatician at the Neuroscience Institute of Morehouse School of Medicine. In October 2022, Dr. Guven achieved recognition for her expertise when she was appointed as an Associate Professor of Bioinformatics by the Interuniversity Council at Düzce University in Turkey.
Her academic journey has been marked by significant milestones. In June 2018, she accepted the Assistant Professor of Biomedical Engineering at Düzce University. Before that, from August 2017 to November 2019, Emine Guven shared her knowledge and insights as a Research Consultant at the SimCenter of the University of Tennessee at Chattanooga. Her dedication to advancing the field of bioinformatics is evident through her postdoctoral training at the Engineering and Computer Science Department at the University of Tennessee at Chattanooga from 2015 to 2017.
Dr. Guven's academic journey includes a postdoctoral experience at the Biology Department at Spelman College in Atlanta, USA, where she further enriched her expertise for 8 months.
Her educational background showcases her commitment to the field. Dr. Emine Guven earned her Ph.D. in Computational Biology from the Mathematics Department at West Virginia University in December 2015, following her MSc degree in May 2012. Her academic journey began at Ankara University in Turkey, where she obtained her BSc in June 2007.
Dr. Guven's primary research focuses on the mathematical and statistical analysis of genomic science, encompassing gene expression and mutational analysis. Her extensive expertise in cellular aging studies has culminated in the development of an R package called "fitmix," which is readily available in the R studio library. Her work exemplifies her dedication to advancing the field of bioinformatics and her unwavering commitment to understanding the intricacies of genomics and cellular aging. Her contributions continue to shape the landscape of computational biology, leaving a lasting impact on the scientific community.