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Ali Bashashati's research primarily focuses on machine learning and statistical and signal processing algorithms, where he explores software infrastructure integrating various 'omics and imaging data sources. His work contributes to the field of cancer treatment stratification, aiming to improve patient outcomes through advanced computational techniques in biomedical applications. He is affiliated with the School of Biomedical Engineering at the University of British Columbia, collaborating with an interdisciplinary team to develop novel technologies for clinical implementation.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.