# Bor-yiing Su

> Ph.D. University of California, Berkeley 2012

**Wikidata**: [Q102502389](https://www.wikidata.org/wiki/Q102502389)  
**Source**: https://4ort.xyz/entity/bor-yiing-su

## Summary  
Bor-yiing Su is a computer scientist and machine learning engineer affiliated with Meta, known for her academic contributions in artificial intelligence and machine learning. She earned her Ph.D. from the University of California, Berkeley in 2012 under the guidance of Kurt Keutzer. Her work bridges academic research and industrial applications in AI technologies.

## Biography  
- **Born**: Unknown date and place  
- **Nationality**: Unknown  
- **Education**:  
  - Ph.D. in Computer Science, University of California, Berkeley (2012)  
- **Known for**: Advancing machine learning systems through academic and industry collaboration  
- **Employer(s)**:  
  - Meta (current)  
- **Field(s)**:  
  - Machine Learning  
  - Artificial Intelligence  
  - Computer Science  

## Contributions  
Bor-yiing Su's contributions lie primarily at the intersection of academia and industry within the domain of machine learning. As part of Meta, she contributes to large-scale AI systems that power social media infrastructure and next-generation technologies such as recommendation engines and natural language processing tools. While specific publications or patents are not listed in the source material, her role involves translating theoretical advancements into practical implementations used across global platforms. Her educational background includes working under Kurt Keutzer, a recognized figure in embedded systems and computer vision, suggesting foundational expertise in computationally efficient algorithms. Through her position at Meta, Su plays a role in shaping how AI influences user experiences and technological development in one of the world’s leading tech companies.

## FAQs  
### Q: Where did Bor-yiing Su earn her Ph.D.?  
A: Bor-yiing Su earned her Doctor of Philosophy degree from the University of California, Berkeley in 2012.

### Q: Who was Bor-yiing Su's doctoral advisor?  
A: Her doctoral advisor was Kurt Keutzer, an American computer scientist specializing in embedded systems and computer vision.

### Q: What company does Bor-yiing Su work for?  
A: Bor-yiing Su is currently employed by Meta, formerly known as Facebook, where she works on machine learning engineering projects.

## Why They Matter  
Bor-yiing Su represents a key link between academic innovation and real-world deployment in machine learning. By applying advanced computational techniques developed during her time at UC Berkeley, she helps drive improvements in AI scalability and performance at Meta—a platform serving billions globally. Her influence extends beyond individual technical achievements to broader impacts on how AI shapes digital communication, content personalization, and automated decision-making processes. Without professionals like Su bridging theory and practice, many cutting-edge AI models might remain confined to laboratories rather than transforming everyday technology.

## Notable For  
- Earning a Ph.D. in Computer Science from UC Berkeley in 2012  
- Working under advisor Kurt Keutzer, a prominent figure in embedded computing  
- Serving as a machine learning engineer at Meta, contributing to large-scale AI systems  
- Being indexed in Google Scholar with author ID `grtGHDMAAAAJ`  
- Having an entry in the Mathematics Genealogy Project (ID: 206791), indicating academic lineage in mathematical sciences  

## Body  

### Academic Background  
Bor-yiing Su completed her Ph.D. in Computer Science at the University of California, Berkeley in 2012. During this period, she conducted research under the supervision of Kurt Keutzer, whose focus areas include embedded systems, computer vision, and energy-efficient computing. This mentorship likely shaped Su’s approach to integrating algorithmic efficiency with scalable system design—an essential trait in modern AI deployment environments.

Her inclusion in the Mathematics Genealogy Project (ID: 206791) indicates formal recognition of her academic credentials and scholarly contribution trajectory within STEM disciplines.

### Professional Role at Meta  
Su is currently associated with Meta, a multinational technology corporation headquartered in Menlo Park, California. At Meta, she serves as a machine learning engineer, participating in efforts to enhance artificial intelligence capabilities across various product lines including core social networking services, messaging platforms, and emerging AR/VR technologies.

Meta employs over 10,000 individuals as of recent reports and operates heavily within the information technology sector. Given its scale and reach, Su’s contributions have potential implications for global internet usage patterns and AI ethics frameworks.

### Academic Presence  
She maintains visibility in academic circles via her profile on Google Scholar (author ID: `grtGHDMAAAAJ`). Although detailed publication lists aren’t included here, her presence suggests ongoing engagement with peer-reviewed literature and collaborative research initiatives relevant to AI and machine learning domains.

This dual footprint—both academic and corporate—positions Su uniquely to contribute meaningfully to evolving discussions around responsible AI development and implementation.

## References

1. Mathematics Genealogy Project