# Edward Y. Chang

> American computer scientist

**Wikidata**: [Q102250239](https://www.wikidata.org/wiki/Q102250239)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Edward_Y._Chang)  
**Source**: https://4ort.xyz/entity/edward-y-chang

## Summary
Edward Y. Chang is an American computer scientist known for his contributions to scalable machine learning and healthcare. He is an ACM Fellow and has held key roles at Google, Stanford University, and the University of California, Santa Barbara.

## Biography
- Born: 1949 or 1959 in Taipei
- Nationality: United States
- Education:
  - Ph.D. in Electrical Engineering, Stanford University (1999)
  - M.S. in Computer Science, Stanford University (1994)
- Known for: Contributions to scalable machine learning and healthcare
- Employer(s):
  - Stanford University (2019–present)
  - Google (2006–2012)
  - University of California, Santa Barbara (1999–2006)
- Field(s): Computer science, machine learning, healthcare

## Contributions
Edward Y. Chang has made significant contributions to scalable machine learning and healthcare. His work at Google (2006–2012) likely involved large-scale data systems and machine learning applications. As a professor at Stanford University (since 2019), he continues to influence research in these areas. His doctoral students, including Raju Rangaswami, Wen-Yen Chen, Zoran Dimitrijevic, and Beitao Li, have gone on to contribute to computer science. Chang's recognition as an ACM Fellow in 2022 highlights his impact on the field, particularly for his work in scalable machine learning and healthcare applications.

## FAQs
### Q: What is Edward Y. Chang known for?
A: Edward Y. Chang is known for his contributions to scalable machine learning and healthcare, earning him recognition as an ACM Fellow in 2022.

### Q: Where did Edward Y. Chang work?
A: He has worked at Stanford University (since 2019), Google (2006–2012), and the University of California, Santa Barbara (1999–2006).

### Q: What degrees does Edward Y. Chang hold?
A: He holds a Ph.D. in Electrical Engineering (1999) and an M.S. in Computer Science (1994), both from Stanford University.

### Q: Who were Edward Y. Chang's doctoral students?
A: His notable doctoral students include Raju Rangaswami, Wen-Yen Chen, Zoran Dimitrijevic, and Beitao Li.

### Q: What awards has Edward Y. Chang received?
A: He was named an ACM Fellow in 2022 for his contributions to scalable machine learning and healthcare.

## Why They Matter
Edward Y. Chang's work in scalable machine learning has advanced the field by enabling large-scale data processing and analysis, which is critical for modern applications in healthcare and beyond. His leadership at Google and academic institutions has shaped the careers of numerous computer scientists, amplifying his influence. Without his contributions, progress in machine learning scalability and its applications in healthcare might have been slower, affecting industries reliant on big data and AI.

## Notable For
- ACM Fellow (2022) for contributions to scalable machine learning and healthcare
- Former researcher at Google (2006–2012)
- Professor at Stanford University (since 2019)
- Doctoral advisor to influential computer scientists like Raju Rangaswami and Wen-Yen Chen
- Ph.D. and M.S. from Stanford University

## Body
### Early Life and Education
- Born in Taipei, Taiwan
- Earned an M.S. in Computer Science from Stanford University in 1994
- Completed a Ph.D. in Electrical Engineering at Stanford University in 1999, advised by Héctor García-Molina

### Career
- **University of California, Santa Barbara (1999–2006)**: Began his academic career as a professor.
- **Google (2006–2012)**: Worked as a researcher, contributing to scalable machine learning and data systems.
- **Stanford University (2019–present)**: Currently a professor, continuing research in machine learning and healthcare.

### Research and Influence
- Advised multiple Ph.D. students who have become notable computer scientists, including Raju Rangaswami (Ph.D. 2004), Wen-Yen Chen (Ph.D. 2009), Zoran Dimitrijevic (Ph.D. 2004), and Beitao Li (Ph.D. 2003).
- Recognized as an ACM Fellow in 2022 for his contributions to scalable machine learning and healthcare.

### Awards and Honors
- ACM Fellow (2022): Awarded for "contributions to scalable machine learning and healthcare."

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## References

1. [Source](https://drive.google.com/file/d/1UXf_5w3zqXKOK_0W0m7QfZNdaAaE1W7o/view)
2. Mathematics Genealogy Project
3. [Source](http://infolab.stanford.edu/~echang/)
4. [Source](https://www.acm.org/media-center/2022/january/fellows-2021)