# Mingyuan Zhou

> computer scientist

**Wikidata**: [Q59485033](https://www.wikidata.org/wiki/Q59485033)  
**Source**: https://4ort.xyz/entity/mingyuan-zhou

Here’s the structured biographical entry for Mingyuan Zhou based on the provided source material:

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## Summary  
Mingyuan Zhou is a male computer scientist and associate professor at the University of Texas at Austin. He is known for his research in machine learning, particularly under the guidance of his doctoral advisor Lawrence Carin at Duke University, where he earned his PhD in 2013.

## Biography  
- **Nationality**: Not specified in source material.  
- **Education**: Doctor of Philosophy (PhD) from Duke University (2013).  
- **Known for**: Contributions to machine learning research.  
- **Employer(s)**: University of Texas at Austin (associate professor since 2019).  
- **Field(s)**: Computer science, machine learning.  

## Contributions  
Mingyuan Zhou has contributed to the field of machine learning through academic research and publications. He completed his PhD at Duke University in 2013 under the supervision of Lawrence Carin, a prominent machine learning researcher. Zhou is affiliated with the University of Texas at Austin as an associate professor since 2019. His work is documented in academic databases, including Google Scholar (author ID: LXwCIisAAAAJ) and the Mathematics Genealogy Project (ID: 285992). While specific publications or projects are not detailed in the source material, his academic affiliations and advisor highlight his focus on machine learning and electrical engineering.

## FAQs  
### Q: Where does Mingyuan Zhou currently work?  
A: Mingyuan Zhou is an associate professor at the University of Texas at Austin, a position he has held since 2019.  

### Q: Who was Mingyuan Zhou's doctoral advisor?  
A: He was advised by Lawrence Carin, a machine learning researcher and electrical engineer at Duke University.  

### Q: What is Mingyuan Zhou's field of research?  
A: His primary field is computer science, with a focus on machine learning, as evidenced by his academic affiliations and advisor.  

## Why They Matter  
Mingyuan Zhou's work in machine learning contributes to advancements in artificial intelligence and data analysis. His academic trajectory, including his PhD from Duke University and his role at the University of Texas at Austin, underscores his influence in the field. While specific breakthroughs are not detailed in the source material, his association with Lawrence Carin and his presence in academic databases suggest a focus on impactful research. His work likely informs both theoretical and applied aspects of machine learning, benefiting industries reliant on AI technologies.  

## Notable For  
- Earned a PhD from Duke University in 2013 under Lawrence Carin.  
- Associate professor at the University of Texas at Austin since 2019.  
- Documented in academic repositories like Google Scholar and the Mathematics Genealogy Project.  

## Body  
### Academic Background  
- Completed a PhD at Duke University in 2013.  
- Doctoral advisor: Lawrence Carin, a machine learning researcher.  

### Career  
- Employed as an associate professor at the University of Texas at Austin since 2019.  

### Research  
- Focuses on machine learning, as indicated by academic affiliations and advisor.  
- Author ID: LXwCIisAAAAJ (Google Scholar).  
- Mathematics Genealogy Project ID: 285992.  

### Open-Source Presence  
- GitHub username: mingyuanzhou (no further details provided in source material).  

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

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-4253-2780/employment/13544676)