# Alice X. Zheng

> Ph.D. University of California, Berkeley 2005

**Wikidata**: [Q102300817](https://www.wikidata.org/wiki/Q102300817)  
**Source**: https://4ort.xyz/entity/alice-x-zheng

## Summary
Alice X. Zheng is a computer scientist known for her work in machine learning and feature engineering. She earned her Ph.D. from the University of California, Berkeley in 2005 under the supervision of Michael I. Jordan.

## Biography
- Born: Not specified
- Nationality: Not specified
- Education: Ph.D. in Computer Science, University of California, Berkeley, 2005
- Known for: Machine learning research and feature engineering
- Employer(s): Not specified
- Field(s): Computer science, machine learning, feature engineering

## Contributions
Alice X. Zheng completed her doctoral studies in computer science at UC Berkeley in 2005, focusing on machine learning. Her research has contributed to the field of feature engineering, which involves selecting and transforming variables to improve machine learning model performance. While specific publications are not listed in the source material, her work falls within the broader domain of computational methods for data analysis and pattern recognition.

## FAQs
### Q: What is Alice X. Zheng's educational background?
A: Alice X. Zheng earned her Ph.D. in Computer Science from the University of California, Berkeley in 2005.

### Q: Who was Alice X. Zheng's doctoral advisor?
A: Her doctoral advisor was Michael I. Jordan, a prominent computer scientist at UC Berkeley.

### Q: What is Alice X. Zheng known for?
A: She is known for her work in machine learning and feature engineering.

## Why They Matter
Alice X. Zheng's contributions to machine learning and feature engineering have helped advance the field of computer science. Her doctoral research at UC Berkeley, under the guidance of Michael I. Jordan, has likely influenced subsequent work in developing more effective machine learning models through better feature selection and transformation techniques.

## Notable For
- Earned Ph.D. from UC Berkeley in 2005
- Specialized in machine learning and feature engineering
- Studied under renowned computer scientist Michael I. Jordan
- Contributed to computational methods in data analysis
- Active in academic and research communities (as evidenced by multiple academic identifiers)

## Body
### Academic Background
Alice X. Zheng completed her doctoral studies at the University of California, Berkeley in 2005. Her dissertation was supervised by Michael I. Jordan, a prominent figure in machine learning and statistics.

### Research Focus
Her work centers on machine learning and feature engineering, which involves identifying and transforming variables to improve the performance of machine learning models. This area is crucial for developing more accurate and efficient predictive systems.

### Academic Identifiers
Zheng maintains a significant academic presence with identifiers across multiple platforms:
- Mathematics Genealogy Project ID: 101042
- ACM Digital Library Author ID: 81538301756
- ResearchGate Contributions ID: 33427497
- Google Knowledge Graph ID: /g/11c5br1fp2

### Professional Recognition
Her work is recognized across academic databases with entries in:
- VIAF (Virtual International Authority File)
- Library of Congress Authority File
- National Diet Library of Japan
- German National Library (GND)

### Online Presence
Zheng maintains professional profiles on:
- Twitter (@RainyData, active since January 2015)
- GitHub (username: alicezheng)
- ResearchGate

### Field of Impact
Her contributions fall within the broader context of computer science, specifically in developing computational methods for data analysis and pattern recognition through machine learning techniques.

## References

1. IdRef
2. Mathematics Genealogy Project