Yuying Li facts for kids
Quick facts for kids
Yuying LI
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| Education | University of Waterloo, Ph.D., Mathematics, 1988 |
| Occupation | Professor of computer science in the David R. Cheriton School at University of Waterloo |
Yuying Li is a talented professor from Canada who specializes in computer science. She teaches at the University of Waterloo, which is a well-known school in Canada. Her work involves solving complex problems using computers.
What Does Yuying Li Study?
Professor Li is interested in several cool areas of computer science. She studies mathematical optimization, which is about finding the best way to do things, like making a process as efficient as possible. She also works on scientific computing, using computers to solve problems in science and engineering.
Another area she explores is data mining. This is like being a detective with huge amounts of information, looking for patterns and useful insights. Lastly, she looks at tail risk in computational finance. This means using computers to understand and manage big, unexpected financial risks.
Her Journey in Education and Career
Yuying Li started her amazing journey in China. She earned her first degree in mathematics from Sichuan University in 1982.
After that, she moved to Canada. She continued her studies at the University of Waterloo, where she earned her PhD in 1988. Her special project for her PhD was about finding an efficient way to solve certain math problems. Her professor, Andrew Conn, helped her a lot with this work.
Before becoming a professor at Waterloo, she worked as a researcher at Cornell University. This is another famous university, located in the United States.
Awards and Recognition
Yuying Li is a highly respected computer scientist. In 1993, she won a very important award called the Leslie Fox Prize for Numerical Analysis. This prize is given to young researchers who have done excellent work in a field called numerical analysis, which is about solving math problems using computers. Winning this award showed how brilliant her research was early in her career.
