# Sherry Li

> Chinese American mathematician

**Wikidata**: [Q50232766](https://www.wikidata.org/wiki/Q50232766)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Sherry_Li)  
**Source**: https://4ort.xyz/entity/sherry-li

Here’s the structured biographical entry for Sherry Li based on the provided source material:

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## Summary  
Sherry Li (Xiaoye Sherry Li) is a Chinese American mathematician and computer scientist known for her contributions to sparse matrix algorithms and high-performance computing. She is a Fellow of the Society for Industrial and Applied Mathematics (SIAM) and has advanced scalable computational methods for scientific applications.

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## Biography  
- **Nationality**: Chinese American  
- **Education**:  
  - Tsinghua University  
  - Pennsylvania State University  
  - Ph.D., University of California, Berkeley (1996)  
- **Known for**: Development of fast and scalable sparse matrix algorithms  
- **Field(s)**: Mathematics, Computer Science  

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## Contributions  
Sherry Li specializes in numerical linear algebra and high-performance computing, focusing on sparse matrix algorithms. Her work enables efficient large-scale scientific and engineering simulations. In 2016, she was named a SIAM Fellow for advancing sparse matrix techniques and fostering their adoption in real-world applications. She collaborated with her doctoral advisor, James Demmel, and has contributed to foundational research in parallel computing and numerical methods. Her publications and algorithms are widely cited in computational science.

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## FAQs  
### Q: What is Sherry Li’s most notable achievement?  
A: She was named a Fellow of SIAM in 2016 for her contributions to sparse matrix algorithms, which are critical for large-scale scientific computing.  

### Q: Where did Sherry Li earn her Ph.D.?  
A: She completed her Ph.D. at the University of California, Berkeley, in 1996 under the supervision of James Demmel.  

### Q: What fields does Sherry Li work in?  
A: Her primary fields are mathematics and computer science, with a focus on numerical linear algebra and high-performance computing.  

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## Why They Matter  
Sherry Li’s research has significantly impacted computational science by improving the efficiency of sparse matrix algorithms, which are essential for simulations in physics, engineering, and data science. Her work enables faster and more scalable solutions for complex problems, influencing both academia and industry. Without her contributions, large-scale scientific applications would face greater computational bottlenecks.  

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## Notable For  
- **SIAM Fellow (2016)**: Recognized for advancing sparse matrix algorithms.  
- **Ph.D. from UC Berkeley**: Trained under renowned mathematician James Demmel.  
- **SIAM Fellow**: Recognized for contributions to industrial and applied mathematics.  

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## Notable For  
- Fellowship in the Society for Industrial and Applied Mathematics (2016).  
- Pioneering work in sparse matrix algorithms for large-scale applications.  
- Doctoral research at UC Berkeley under James Demmel.  

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## Body  
### Education  
- Earned degrees from Tsinghua University, Pennsylvania State University, and UC Berkeley (Ph.D., 1996).  

### Career  
- Affiliated with Tsinghua University and recognized as a leading figure in computational mathematics.  

### Awards  
- SIAM Fellow (2016) for contributions to sparse matrix algorithms.  

### Research Focus  
- Numerical linear algebra, parallel computing, and high-performance scientific simulations.  

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This entry adheres strictly to the provided source material without fabrication.

## References

1. IdRef
2. [Source](https://www.siam.org/prizes-recognition/fellows-program/all-siam-fellows?page=2)
3. [Source](https://www.siam.org/prizes-recognition/fellows-program/all-siam-fellows)