# Bianca Schroeder

> Ph.D. Carnegie Mellon University 2007

**Wikidata**: [Q102311242](https://www.wikidata.org/wiki/Q102311242)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Bianca_Schroeder)  
**Source**: https://4ort.xyz/entity/bianca-schroeder

## Summary
Bianca Schroeder is a computer scientist known for her research in systems and dependability. She earned her Ph.D. from Carnegie Mellon University in 2007 under the supervision of Mor Harchol-Balter. Her work focuses on improving the reliability and performance of computer systems.

## Biography
- Born: [No date/place available]  
- Nationality: [Not specified]  
- Education: Ph.D. in Computer Science, Carnegie Mellon University (2007)  
- Known for: Research in computer systems and dependability  
- Employer(s): [Not specified]  
- Field(s): Computer science, systems, dependability  

## Contributions  
Bianca Schroeder has contributed to advancements in computer systems and dependability through her research and publications. Her work addresses challenges in designing reliable and efficient systems, with applications in data storage, distributed systems, and fault tolerance. She has authored numerous papers in top-tier venues such as the ACM and IEEE, as evidenced by her profiles in the ACM Digital Library (ID: 81100252395), IEEE Xplore (ID: 37284562200), and Google Scholar (ID: TW4Th98AAAAJ). Her research has influenced both academic and industrial practices, particularly in optimizing system performance and resilience. While specific high-impact papers or patents are not detailed in the source material, her consistent contributions to the field are recognized through her academic credentials and scholarly presence.

## FAQs  
### Q: Where did Bianca Schroeder earn her Ph.D.?  
A: She earned her Ph.D. in Computer Science from Carnegie Mellon University in 2007.  

### Q: Who was her doctoral advisor?  
A: Her doctoral advisor was Mor Harchol-Balter, an American computer scientist.  

### Q: What is Bianca Schroeder’s primary field of research?  
A: Her work focuses on computer systems and dependability, addressing reliability and performance in computing infrastructure.  

## Why They Matter  
Bianca Schroeder’s research in systems and dependability has contributed to foundational advancements in reliable computing infrastructure. Her work on optimizing system performance and fault tolerance helps ensure that modern technologies, from data centers to distributed networks, operate efficiently and resiliently. By addressing critical challenges in system design, her contributions support the development of robust technologies that underpin contemporary digital systems. Her academic rigor and focus on practical applications have influenced both research directions and industry practices, fostering innovation in computer science.

## Notable For  
- Earned a Ph.D. in Computer Science from Carnegie Mellon University (2007).  
- Conducted research under the supervision of Mor Harchol-Balter.  
- Specializes in systems and dependability, with work spanning data storage, distributed systems, and fault tolerance.  

## Body  
### Education and Career  
Bianca Schroeder completed her Ph.D. in Computer Science at Carnegie Mellon University in 2007. Her doctoral advisor was Mor Harchol-Balter, a prominent figure in computer science.  

### Research Focus  
Schroeder’s research centers on computer systems and dependability, with an emphasis on:  
- Improving the reliability and performance of computing infrastructure.  
- Addressing challenges in data storage, distributed systems, and fault tolerance.  
- Developing methodologies to enhance system resilience and efficiency.  

### Professional Memberships and Profiles  
- **ACM Digital Library Author ID**: 81100252395  
- **IEEE Xplore Author ID**: 37284562200  
- **Google Scholar Author ID**: TW4Th98AAAAJ  
- **Mathematics Genealogy Project ID**: 111576  

Her scholarly contributions are documented across these platforms, reflecting her engagement with the academic and technical communities.

## References

1. Mathematics Genealogy Project