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Ali Bashashati's research is positioned at the intersection of computational sciences and biomedical engineering. His work primarily focuses on the development of machine learning and statistical signal processing algorithms with an aim to integrate various data sources, including omics and imaging. Bashashati has a significant commitment to uncovering complex biological information that pertains to diseases, particularly in relation to cancer treatment and stratification. His research has a concentrated focus on ovarian and breast cancers, as well as lymphoid malignancies. He is also invested in understanding how these cancers develop and respond to therapies. Bashashati’s expertise extends to cancer genomics, bioinformatics, and computational biology, with his findings being published in leading scientific journals like Nature and Nature Genetics. For more information on Ali Bashashati's work, visit his Google Scholar page.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.