# Geetha Sitaraman

> master of Computer Science & Engineering, University of Washington, 2014

**Wikidata**: [Q113667886](https://www.wikidata.org/wiki/Q113667886)  
**Source**: https://4ort.xyz/entity/geetha-sitaraman

## Summary
Geetha Sitaraman is a computer scientist known for her academic work in computer science and engineering. She earned a master's degree from the University of Washington in 2014, focusing on inferring personality traits from online social networks. Her research contributes to the intersection of social computing and artificial intelligence.

## Biography
- Born: [No data available]
- Nationality: [No data available]
- Education: Master's degree in Computer Science & Engineering, University of Washington (2014)
- Known for: Research on inferring Big 5 personality traits from online social networks
- Employer(s): [No data available]
- Field(s): Computer science, social computing

## Contributions
Geetha Sitaraman’s work centers on analyzing online social behavior through computational methods. Her master’s thesis, *Inferring Big 5 Personality from Online Social Networks* (2014), explores the use of machine learning to predict personality traits from user activity on social platforms. This research bridges computer science with social science, offering insights into how digital footprints reflect human behavior. While specific applications or follow-up studies are not detailed in the source material, her thesis demonstrates early efforts to apply computational techniques to psychological analysis, a growing field in AI and data science.

## FAQs
### Q: What is Geetha Sitaraman’s most notable academic work?
A: Her master’s thesis, *Inferring Big 5 Personality from Online Social Networks* (2014), which applies computational methods to analyze personality traits from social media activity.

### Q: Where did Geetha Sitaraman earn her graduate degree?
A: She earned a master’s degree in Computer Science & Engineering from the University of Washington in 2014.

### Q: What field does Geetha Sitaraman work in?
A: She is a computer scientist with a focus on social computing and personality inference from online data.

## Why They Matter
Geetha Sitaraman’s research contributes to the foundational understanding of how machine learning can interpret human behavior from digital interactions. Her work on personality inference aligns with broader trends in AI ethics and personalized technology, where accurate modeling of user behavior is critical. While her direct influence on specific industries or technologies is not documented, her thesis reflects the evolving role of computer science in analyzing social dynamics—a key area for applications like recommendation systems, mental health monitoring, and targeted content delivery.

## Notable For
- Master’s thesis on inferring Big 5 personality traits from online social networks (2014).
- Graduate of the University of Washington’s Computer Science & Engineering program.
- Student of Martine De Cock, a notable academic in computer science.

## Body
### Education
Geetha Sitaraman completed her master’s degree in Computer Science & Engineering at the University of Washington in 2014. Her studies combined computer science and engineering disciplines, with a focus on social network analysis.

### Academic Work
Her thesis, *Inferring Big 5 Personality from Online Social Networks*, investigated the application of machine learning techniques to predict personality traits (openness, conscientiousness, extraversion, agreeableness, neuroticism) from user-generated content on social platforms. This work was supervised by Martine De Cock, a professor in the field.

### Professional Identity
Sitaraman is classified as a computer scientist, with contributions to the study of human behavior in digital environments. Her research interests, as evidenced by her thesis, lie at the intersection of artificial intelligence, data mining, and social science. No specific employment history or post-graduation roles are documented in the provided sources.

## References

1. WorldCat