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C.C. & Clara Li Scholarship

C.C. & Clara Li Endowed Scholarship

With support from C.C. Li’s two children, Carol S. Li and Steven M. Li, and his wife, Clara, the C.C. and Clara Li Endowed Scholarship was established in summer 2015. The award honors the legacy of C.C. Li, who served as chair of the Department of Biostatistics and was a faculty member at Pitt Public Health for more than 30 years. A recipient of the American Society of Human Genetics Award for Excellence in Human Genetics Education,Li authored several textbooks—including First Course in Population Genetics—that are considered to be classics in the field and have been translated into several languages. 

The Li family’s generous support of Pitt Public Health dates back many years and also includes a $1 million planned gift commitment to create a research fund for the Department of Human Genetics. The inaugural C.C. and Clara Li scholars will be awarded in 2017, and formally announced at the 2018 C.C. Li Memorial Lecture.

Support the Scholarship

Additional gifts to Pitt Public Health may be directed towards the C.C. & Clara Li Scholarships in Human Genetics using the link below.

A memory of C.C. by Dan Weeks

I first met C.C. Li when I was a graduate student at UCLA and C.C. teaching a course in Population Genetics as a visiting scholar. While his class was very good and I learned a lot, I had no idea that later I would be fortunate enough to come to Pittsburgh to his department. 

Shortly after my arrival in Pittsburgh in the early 1990's, I had the pleasure of working with C.C. on a paper dealing with the probability of a random match between the two DNA profiles of a pair of individuals. The mathematics was challenging, and it was difficult to visualize exactly what was going on in our multidimensional model. Then, one morning, C.C. came into my office with an elegant three-dimensional paper model that he had made that provided great insight into the properties of our model. I kept this wonderful paper model on top of my computer monitor for many years as a gentle reminder that the best mathematical modeling often results from sharp intellectual insight, rather than from extensive computer-based simulations.
© 2017 by University of Pittsburgh Graduate School of Public Health

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