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Ali Bashashati’s research area lies at the interface of computational engineering and biomedical sciences. He is interested in developing machine learning and statistical signal processing algorithms and software infrastructure to combine omics and imaging data sources, with an emphasis on discovering novel complex biological information related to diseases. His research specifically focuses on ovarian and breast cancers, as well as lymphoid malignancies, and the evolution of these cancers in response to therapies. Bashashati has published extensively in the fields of cancer genomics, bioinformatics, computational biology, and brain-computer interface, with papers appearing in top-tier journals such as Nature and Nature Genetics.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.