Haitham Elmarakeby
About Haitham Elmarakeby
Haitham Elmarakeby is a Postdoctoral Research Fellow currently affiliated with Harvard Medical School and Dana-Farber Cancer Institute, focusing on computational techniques to understand cancer progression and drug resistance. He holds a PhD in Computer Science from Virginia Tech and has extensive experience in developing predictive models for cancer research.
Current Work at Broad Institute
Haitham Elmarakeby has been serving as a Postdoctoral Research Fellow at the Broad Institute of MIT and Harvard since 2017. In this role, he focuses on developing computational models that integrate various genetic data types, including gene expression, mutations, copy number variations, and methylations. His work aims to predict outcomes in cancer research, contributing to the understanding of cancer progression and drug resistance.
Current Work at Dana-Farber Cancer Institute
Since 2019, Haitham Elmarakeby has held the position of Instructor at the Dana-Farber Cancer Institute. In this capacity, he continues to advance his research in cancer biology, specifically through the application of computational techniques. His efforts are directed toward enhancing predictive models that can lead to improved clinical outcomes.
Education and Expertise
Haitham Elmarakeby earned his Bachelor of Science in Computer Engineering from Al-Azhar University, followed by a Master of Science in Computer Engineering from Cairo University. He furthered his education at Virginia Tech, where he obtained a PhD in Computer Science. His academic background provides a strong foundation for his research interests in computational biology and machine learning.
Previous Experience
Before his current roles, Haitham Elmarakeby worked at Virginia Tech as a PhD student from 2011 to 2017. He also served as a Postdoctoral Research Fellow at Dana-Farber Cancer Institute from 2017 to 2019. His earlier positions include roles as a Cisco Academy Instructor and Research Assistant at Al-Azhar University, as well as software engineering positions at Horizonssoftware.
Research Focus and Contributions
Haitham Elmarakeby specializes in applying computational techniques to cancer research. His research includes creating interpretable machine learning models to identify novel biomarkers for clinical and biological outcomes. He emphasizes the integration of multiple data modalities to improve the accuracy of predictive models in both real patient and cell line contexts.