# Songbai Yan

> Ph.D. University of California, San Diego 2019

**Wikidata**: [Q103404697](https://www.wikidata.org/wiki/Q103404697)  
**Source**: https://4ort.xyz/entity/songbai-yan

## Summary  
Songbai Yan is a computer scientist known for completing a Ph.D. at the University of California, San Diego in 2019. Their research was advised by prominent figures in computer science and engineering, including Kamalika Chaudhuri and Tara Javidi. Yan's academic background positions them within the field of theoretical and applied computer science.

## Biography  
- **Born**: Unknown date and place  
- **Nationality**: Unknown  
- **Education**:  
  - Ph.D., University of California, San Diego, 2019  
- **Known for**: Academic contributions under the guidance of leading researchers in machine learning and information theory  
- **Employer(s)**: Unknown  
- **Field(s)**: Computer Science  

## Contributions  
Details regarding specific publications, patents, or technical contributions made by Songbai Yan are not provided in the source material. As such, no concrete outcomes or impacts can be definitively attributed to them beyond their educational achievements and advisory relationships with established scholars.

## FAQs  
### Q: Who advised Songbai Yan’s Ph.D.?  
A: Songbai Yan's doctoral advisors were Kamalika Chaudhuri and Tara Javidi, both recognized experts in computer science and electrical engineering.

### Q: Where did Songbai Yan earn their Ph.D.?  
A: Songbai Yan earned their Ph.D. from the University of California, San Diego in 2019.

### Q: What is Songbai Yan known for?  
A: Songbai Yan is known for completing advanced academic training in computer science and being mentored by influential faculty members in the field.

## Why They Matter  
Without detailed information on Songbai Yan’s professional output—such as peer-reviewed publications, software tools, or industry involvement—it is currently not possible to assess their broader impact or influence on the discipline of computer science.

## Notable For  
- Completing a Ph.D. in Computer Science at UC San Diego in 2019  
- Being advised by Kamalika Chaudhuri and Tara Javidi  
- Association with the University of California system through doctoral study  

## Body  
### Academic Background  
Songbai Yan pursued doctoral studies in Computer Science at the University of California, San Diego, graduating in 2019. During this time, they worked under the supervision of two distinguished faculty members: Kamalika Chaudhuri and Tara Javidi. These advisors are well-known contributors to areas such as machine learning theory, privacy-preserving algorithms, and information-theoretic methods in data science.

### Institutional Affiliation  
Yan’s affiliation with UC San Diego places them within a strong academic environment known for interdisciplinary research in computing, engineering, and cognitive sciences. However, further details about post-graduation employment or ongoing research activities are not available in the current dataset.

```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Songbai Yan",
  "jobTitle": "Computer Scientist",
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "University of California, San Diego"
    }
  ],
  "knowsAbout": ["Computer Science"],
  "description": "Ph.D. graduate in Computer Science from the University of California, San Diego, advised by Kamalika Chaudhuri and Tara Javidi."
}

## References

1. Mathematics Genealogy Project