# Amir Sepehri

> Ph.D. Stanford University 2017

**Wikidata**: [Q102790458](https://www.wikidata.org/wiki/Q102790458)  
**Source**: https://4ort.xyz/entity/amir-sepehri

## Summary
Amir Sepehri is a computer scientist who earned his Ph.D. from Stanford University in 2017. He is affiliated with Meta (formerly Facebook) and has contributed to the field of computer science, particularly in statistical methods and applications. His work includes research in non-parametric goodness-of-fit testing, supervised by Persi Diaconis.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education:
  - Doctor of Philosophy, Stanford University (2017)
  - Thesis: *Non-parametric goodness-of-fit testing and applications*
- Known for: Research in statistical methods and applications, particularly under the supervision of Persi Diaconis.
- Employer(s): Meta
- Field(s): Computer science

## Contributions
Amir Sepehri's academic work focuses on non-parametric goodness-of-fit testing, a method used to assess the compatibility between sample data and a proposed probability distribution. His research, completed under the guidance of Persi Diaconis at Stanford University, contributes to the field of statistical analysis by developing rigorous testing frameworks. While specific publications or patents are not detailed in the provided material, his doctoral work underscores his expertise in statistical methods and their applications in computer science.

## FAQs
### Q: What is Amir Sepehri known for?
A: Amir Sepehri is known for his research in non-parametric goodness-of-fit testing, completed during his Ph.D. at Stanford University under Persi Diaconis.

### Q: Where did Amir Sepehri earn his Ph.D.?
A: Amir Sepehri earned his Ph.D. from Stanford University in 2017.

### Q: Is Amir Sepehri currently employed?
A: Yes, Amir Sepehri is affiliated with Meta.

### Q: What was Amir Sepehri's doctoral thesis about?
A: Amir Sepehri's doctoral thesis focused on *Non-parametric goodness-of-fit testing and applications*.

### Q: Has Amir Sepehri participated in any notable academic competitions?
A: Yes, Amir Sepehri participated in the International Mathematical Olympiad.

## Why They Matter
Amir Sepehri's contributions to statistical methods, particularly in non-parametric goodness-of-fit testing, have advanced the rigor and applicability of statistical analysis in computer science. His work under Persi Diaconis at Stanford University demonstrates his expertise in developing robust testing frameworks, which are essential for validating data-driven models and ensuring the accuracy of statistical inferences. While his impact may not be immediately visible in industry applications, his academic research lays a foundation for future advancements in statistical analysis and its applications in technology.

## Notable For
- Earned a Ph.D. in Computer Science from Stanford University in 2017.
- Conducted research in non-parametric goodness-of-fit testing under Persi Diaconis.
- Affiliated with Meta, contributing to the field of computer science.
- Participated in the International Mathematical Olympiad.

## Body
### Education and Research
Amir Sepehri completed his Doctor of Philosophy at Stanford University in 2017, specializing in non-parametric goodness-of-fit testing. His doctoral work, supervised by Persi Diaconis, focused on developing rigorous statistical methods for assessing data compatibility with proposed probability distributions.

### Professional Affiliations
Sepehri is currently affiliated with Meta, where he applies his expertise in statistical analysis to technological advancements.

### Academic Competitions
Sepehri's participation in the International Mathematical Olympiad highlights his early academic achievements in mathematics, which later influenced his research in statistical methods.

### Research Focus
His research in non-parametric goodness-of-fit testing contributes to the broader field of statistical analysis, ensuring the reliability of data-driven models and analyses in computer science.

## References

1. Mathematics Genealogy Project