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Ash Alizadeh is a professor at Stanford University specializing in Medicine and Oncology. He leads the Cancer Genomics Program at the Stanford Cancer Institute, where his research focuses on the development and application of genomic technologies to address various challenges in human disease, particularly in cancer detection and treatment. His work explores the molecular, cellular, and population dynamics of tumors, employing machine learning to investigate how cellular composition influences cancer behavior and response to therapy. Alizadeh has pioneered non-invasive cancer genomic techniques enabling liquid biopsies, contributing significantly to the field of cancer genomics. He has received numerous prestigious awards for his research, including the Scholar Award from the American Society of Hematology and has been involved in multiple international collaborations and advisory roles. In addition to his research, he is deeply committed to education and mentorship, guiding medical students and postdoctoral researchers.
Stanford University • Stanford, CA
Leading research and clinical programs in oncology at the Stanford Comprehensive Cancer Center.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.