Harvard Catalyst Profiles

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Haitham A. Elmarakeby, Ph.D.

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Biography
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Virginia Tech , Blacksburg, VAPhD05/2017Computer Science
Cairo University, Cairo, EgyptMSc2010Computer Engineering
Al-Azhar University, Cairo, EgyptBSc2004Computer Engineering

Overview
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I am an instructor at Dana-Farber Cancer Institute/Harvard Medical School and an affiliate Research Fellow at the Broad Institute of MIT and Harvard. I am trained in Computer Science and Machine Learning. My research is focused on developing computational models to tackle pressing health problems. I have expertise in machine learning and data mining with a special interest in applying cutting-edge computational techniques to better understand progression and drug resistance in cancer. I am interested in building interpretable models to discover novel biomarkers of clinical and biological outcomes. My machine learning models integrate multiple data modalities such as gene expression, mutations, copy number variations, and methylations to accurately predict outcomes in real patients and cell lines models.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.