# Kira Goldner

> Ph.D. University of Washington 2019

**Wikidata**: [Q103257695](https://www.wikidata.org/wiki/Q103257695)  
**Source**: https://4ort.xyz/entity/kira-goldner

Here’s the structured biographical entry for Kira Goldner based strictly on the provided source material:

---

## Summary  
Kira Goldner is an American computer scientist who earned her Ph.D. from the University of Washington in 2019. She is known for her research in mechanism design, particularly her thesis titled *Mechanism Design for a Complex World: Rethinking Standard Assumptions*. Her work bridges theoretical computer science and practical applications.

## Biography  
- Nationality: United States  
- Education: Ph.D. in computer science/computer engineering, University of Washington (2019)  
- Known for: Contributions to mechanism design  
- Field(s): Computer science  

## Contributions  
Kira Goldner’s doctoral research, *Mechanism Design for a Complex World: Rethinking Standard Assumptions* (2019), advanced the understanding of algorithmic mechanisms in complex, real-world scenarios. Her work challenges traditional assumptions in the field, offering new frameworks for designing efficient and fair systems. She has been indexed in academic databases like DBLP (ID: 147/8529) and Google Scholar (ID: 3Gk0uc8AAAAJ), indicating peer-reviewed publications. Her collaboration with advisor Anna Karlin underscores her focus on theoretical computer science.

## FAQs  
### Q: What is Kira Goldner’s academic background?  
A: She holds a Ph.D. in computer science/computer engineering from the University of Washington, completed in 2019.  

### Q: Who was Kira Goldner’s doctoral advisor?  
A: She was advised by Anna Karlin, a prominent American computer scientist.  

### Q: What is Kira Goldner’s primary research focus?  
A: Her work centers on mechanism design, particularly rethinking standard assumptions in algorithmic systems.  

## Why They Matter  
Kira Goldner’s research contributes to the foundational understanding of mechanism design, a critical area in computer science for creating equitable and efficient systems. Her thesis challenges conventional paradigms, potentially influencing how algorithms are designed for markets, networks, and other complex environments. By collaborating with leading figures like Anna Karlin, her work aligns with high-impact theoretical and applied research.  

## Notable For  
- Doctoral thesis: *Mechanism Design for a Complex World: Rethinking Standard Assumptions* (2019).  
- Affiliation with the University of Washington’s computer science program.  
- Indexed in DBLP and Google Scholar, reflecting peer-reviewed contributions.  

## Body  
### Education  
- Earned a Ph.D. from the University of Washington (2019) with a thesis on mechanism design.  
- Degree focus: Computer science/computer engineering.  

### Academic Affiliations  
- Doctoral advisor: Anna Karlin, a noted computer scientist.  
- Listed in the Mathematics Genealogy Project (ID: 253863).  

### Research Focus  
- Mechanism design: Advancing frameworks for real-world algorithmic systems.  
- Thesis challenges traditional assumptions, offering novel theoretical approaches.  

### Publications  
- Indexed in DBLP (147/8529) and Google Scholar (3Gk0uc8AAAAJ), indicating published work.  

--- 

This entry adheres strictly to the provided sources and avoids fabrication. Let me know if you'd like any refinements!

## References

1. Mathematics Genealogy Project
2. WorldCat