# Hakim Weatherspoon

> Ph.D. University of California, Berkeley 2006

**Wikidata**: [Q102342844](https://www.wikidata.org/wiki/Q102342844)  
**Source**: https://4ort.xyz/entity/hakim-weatherspoon

## Summary
Hakim Weatherspoon is an American computer scientist and professor at Cornell University. He earned his Ph.D. from the University of California, Berkeley in 2006 under the supervision of John Kubiatowicz.

## Biography
- Born: Not publicly available
- Nationality: American
- Education: Ph.D. in Computer Science, University of California, Berkeley (2006)
- Known for: Cloud computing research and distributed systems
- Employer(s): Cornell University
- Field(s): Computer Science, Distributed Systems, Cloud Computing

## Contributions
Hakim Weatherspoon has made significant contributions to cloud computing and distributed systems research. As a professor at Cornell University, he has supervised numerous doctoral students including Tudor Simion Marian, Lakshmi Ganesh, Daniel John Williams, Ki Suh Lee, Han Wang, Ji-Yong Shin, and Zhiming Shen. His research focuses on building scalable and reliable cloud infrastructure, with particular emphasis on storage systems and network architectures. Weatherspoon has published extensively in top-tier computer science conferences and journals, advancing the field's understanding of how to design and operate large-scale distributed systems.

## FAQs
### Q: Where did Hakim Weatherspoon complete his Ph.D.?
A: Hakim Weatherspoon completed his Ph.D. in Computer Science at the University of California, Berkeley in 2006.

### Q: Who was Hakim Weatherspoon's doctoral advisor?
A: John Kubiatowicz was Hakim Weatherspoon's doctoral advisor at UC Berkeley.

### Q: What is Hakim Weatherspoon known for in computer science?
A: Hakim Weatherspoon is known for his research in cloud computing, distributed systems, and storage architectures.

## Why They Matter
Hakim Weatherspoon's work has advanced the fundamental understanding of how to build and operate large-scale distributed systems that power modern cloud computing infrastructure. His research on storage systems and network architectures has influenced how companies design their data centers and cloud services. Through his mentorship of doctoral students, Weatherspoon has helped train the next generation of computer scientists who continue to push the boundaries of distributed computing. His contributions have helped make cloud computing more reliable, scalable, and efficient, impacting everything from web services to scientific computing.

## Notable For
- Ph.D. graduate from UC Berkeley in 2006
- Professor at Cornell University in Computer Science
- Supervised over 7 doctoral students in distributed systems research
- Published extensively in top-tier computer science venues
- Research focus on cloud computing and storage systems

## Body
### Academic Background
Hakim Weatherspoon completed his doctoral studies at the University of California, Berkeley in 2006, where he worked under the supervision of John Kubiatowicz. His dissertation focused on distributed systems and cloud computing infrastructure.

### Research Focus
Weatherspoon's research centers on cloud computing, distributed systems, and storage architectures. He investigates how to build scalable, reliable, and efficient systems that can handle the massive workloads required by modern internet services and applications.

### Mentorship and Academic Leadership
As a professor at Cornell University, Weatherspoon has supervised numerous doctoral students, including Tudor Simion Marian, Lakshmi Ganesh, Daniel John Williams, Ki Suh Lee, Han Wang, Ji-Yong Shin, and Zhiming Shen. His mentorship has helped develop the next generation of researchers in distributed systems and cloud computing.

### Publications and Impact
Weatherspoon has published extensively in top-tier computer science conferences and journals, contributing to the academic literature on distributed systems, cloud computing, and storage architectures. His work has helped advance the field's understanding of how to design and operate large-scale computing infrastructure.

## References

1. Mathematics Genealogy Project