Obituaries
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Wu Liu, known for his sense of humor and optimism, was a national expert in radiation treatments for eye cancer.
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George Hahn dies at 98
A personal tragedy spurred Hahn, who had escaped Nazi Europe as a child, to pursue a career seeking new therapies for cancer.
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A.C. Matin dies at 83
The microbiologist, on the faculty for nearly half a century, studied a wide range of topics, including antibiotic resistance, cancer, and bacteria as an agent for cleaning up toxic chemicals.
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Wes Brown dies at 63
Brown developed stem-cell therapies for patients who suffered infections after receiving blood or bone marrow transplants.
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Biochemist Lubert Stryer dies at 86
Stryer made fundamental discoveries in fluorescence spectroscopy and vision, established structural biology at Stanford, and uplifted young scientists.
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Chuck Chan dies at 48
The Stanford Medicine researcher was known for his groundbreaking work and his generous spirit as a mentor and colleague.
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Former medical school dean dies
David Korn devoted nearly 30 years to Stanford Medicine as chair of pathology and dean of the medical school, overseeing the rise to national prominence amid tumultuous and historic change.
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Elizabeth Mellins dies
Mellins, who studied autoimmune disease and co-founded a large pediatric rheumatology research network, was a tireless mentor and advocate for her field.
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Alistair Philip dies at 86
Alistair Philip, professor emeritus of pediatrics, pioneered a test to reduce antibiotic use in newborns, streamlined nursery care at several hospitals and devoted his life to educating others in his field.
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Bill Marshall dies at 92
The Stanford Medicine professor was well known as a mentor and teacher, as well as for his expertise in neuroradiology.
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Psychiatrist Craig Barr Taylor dies at 78
Taylor, a Stanford Medicine professor emeritus, took a public health approach to mental health and was an early proponent of digital interventions for anxiety and eating disorders.
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Richard Olshen dies at 81
The Stanford Medicine professor was best known for his work in recursive partitioning, an aspect of machine learning.
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