# Ryan Rogers

> Ph.D. University of Pennsylvania 2017

**Wikidata**: [Q102701698](https://www.wikidata.org/wiki/Q102701698)  
**Source**: https://4ort.xyz/entity/ryan-rogers

## Summary  
Ryan Rogers is an American computer scientist and mathematician who earned his Ph.D. in Computer Science from the University of Pennsylvania in 2017. He has conducted research under prominent advisors Michael J. Kearns and Aaron Roth and has worked in industry for Apple Inc. (2017‑2019) and LinkedIn (from 2019 onward).

## Biography  
- **Born:** *not publicly disclosed*  
- **Nationality:** United States  
- **Education:**  
  - B.A. (or equivalent) – Stetson University, completed 2009  
  - Ph.D. in Computer Science – University of Pennsylvania, 2012‑2017 (Doctor of Philosophy)  
- **Known for:** Research in computer science and mathematics; bridging academic theory with practical technology at major tech firms.  
- **Employer(s):**  
  - Apple Inc. (2017 – 2019)  
  - LinkedIn (2019 – present)  
- **Field(s):** Computer science, mathematics  

## Contributions  
Ryan Rogers’ doctoral work, supervised by Michael J. Kearns and Aaron Roth, focused on algorithmic theory and privacy‑preserving computation, resulting in several peer‑reviewed conference papers (details listed on his university CV). After completing his Ph.D., he joined Apple Inc., where he contributed to the development of privacy‑enhancing features for consumer software between 2017 and 2019. In 2019 he transitioned to LinkedIn, applying his expertise to large‑scale data analytics and machine‑learning pipelines that improve professional networking services. His publications, indexed in DBLP (author ID 137/8445) and the Mathematics Genealogy Project (ID 220161), have been cited in subsequent research on differential privacy and algorithmic fairness, influencing both academic discourse and industry practice.

## FAQs  
### Q: What is Ryan Rogers’ academic background?  
A: He earned a Ph.D. in Computer Science from the University of Pennsylvania in 2017, after completing his undergraduate studies at Stetson University in 2009.  

### Q: Who supervised Ryan Rogers’ doctoral research?  
A: His doctoral advisors were Michael J. Kearns and Aaron Roth, both well‑known computer scientists.  

### Q: Which companies has Ryan Rogers worked for?  
A: He worked at Apple Inc. from 2017 to 2019 and has been employed by LinkedIn since 2019.  

## Why They Matter  
Ryan Rogers exemplifies the flow of cutting‑edge theoretical research into real‑world technology. His work on privacy‑preserving algorithms, cultivated under leading scholars, helped shape Apple’s approach to user data protection and later informed LinkedIn’s large‑scale data‑processing systems. By publishing research that is widely cited, he has contributed to the broader academic conversation on algorithmic fairness and differential privacy, influencing subsequent scholars and practitioners. His career demonstrates how rigorous academic training can directly improve the security and functionality of products used by millions worldwide.  

## Notable For  
- Completing a Ph.D. under the mentorship of Michael J. Kearns and Aaron Roth.  
- Publishing peer‑reviewed papers on privacy‑preserving computation (listed on his CV).  
- Contributing to privacy‑focused features at Apple Inc. (2017‑2019).  
- Driving data‑science and machine‑learning initiatives at LinkedIn since 2019.  
- Maintaining a publicly accessible academic profile and CV at the University of Pennsylvania website.  

## Body  

### Education  
- **Stetson University (–2009)** – Undergraduate degree (field not specified).  
- **University of Pennsylvania (2012‑2017)** – Ph.D. in Computer Science; dissertation supervised by Michael J. Kearns and Aaron Roth.  

### Doctoral Research  
- Focused on algorithmic theory, privacy, and fairness.  
- Produced multiple conference papers; details available on his CV (https://www2.math.upenn.edu/~ryrogers/RyanRogersCV.pdf).  
- Listed in DBLP (author ID 137/8445) and the Mathematics Genealogy Project (ID 220161).  

### Industry Career  
- **Apple Inc. (2017‑2019)** – Applied research on privacy‑enhancing technologies for consumer products.  
- **LinkedIn (2019‑present)** – Works on large‑scale data analytics, machine‑learning pipelines, and privacy‑aware data handling.  

### Publications & Impact  
- Papers cited in subsequent work on differential privacy and algorithmic fairness.  
- Contributions have informed both academic standards and industry best practices for handling user data responsibly.  

### Professional Presence  
- Personal academic website: https://www2.math.upenn.edu/~ryrogers/  
- Maintains an up‑to‑date CV that lists publications, teaching, and service activities.  

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  "description": "American computer scientist and mathematician, Ph.D. from the University of Pennsylvania (2017), former Apple engineer and current LinkedIn employee."
}

## References

1. Mathematics Genealogy Project
2. [Source](https://www2.math.upenn.edu/~ryrogers/RyanRogersCV.pdf)