PhD Student
University of Michigan
Trained as a pharmacist, I wanted to pursue career in science where learning about genetics and molecular biology would help us understand the pathogenesis of different diseases and define theraputic targets for novel treatments, bettering people's lives. In the age of exploding amount of information, using computer science, statisitcal models and machine learning are inevitable tools to learn about such complex systems, therefore, I decided to pursue a Ph.D. degree in Bioinformatics to learn how to integrate these different domains to learn more about biology and human health.
Upon graduating Pharmacy School, I learned how the use of biotechnology provides unique solution for developing theraputics, therefore, I started studying Biotechnology at the American University in Cairo. Afterthat, I was awarded the Fulbright Scholarship to pursue masters in Genetics, Genomics and Bioinformatics at the State University of New York at Buffalo, where I worked at Sim lab on defining species-specific regulation of oligodendrocyte precursor cells homeostasis a project that gave me an opportunity to integrate benchwork with bioinformatics to derive biological findings that aim to help Multiple Sclerosis patients.
With the ever-expanding genomic information, and the lack of interdisciplinary scientists analyzing this data to translate their findings into therapies, I decided to take a role in that domain through joining the Bioinformatics PhD program at the University of Michigan - Department of Computational Medicine and Bioinformatics. I am currently a member of two labs ( The Rao Lab & The Pasca Lab). I believe that being a part of both those research groups allows me to widen my research mindset and get exposure to multiple research disciplines where I can integrate computational biology analyses with benchwork to derive valid biological findings. My research focus is integrating single cell mutlimodal data to understand Pancreatic Cancer Adenocarcinoma Pathogenesis
