# Sewoong Oh

> machine learning researcher at UIUC

**Wikidata**: [Q44729015](https://www.wikidata.org/wiki/Q44729015)  
**Source**: https://4ort.xyz/entity/sewoong-oh

Here’s the structured biographical entry for Sewoong Oh based on the provided source material:

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## Summary  
Sewoong Oh is a South Korean machine learning researcher and artificial intelligence expert currently affiliated with the University of Washington. He is known for his contributions to algorithmic and statistical methods in machine learning, with prior roles at the University of Illinois Urbana-Champaign (UIUC) and MIT.

## Biography  
- Nationality: South Korea  
- Education: Studied at Seoul National University and Stanford University (doctoral advisor: Andrea Montanari).  
- Known for: Research in machine learning and artificial intelligence.  
- Employer(s):  
  - University of Washington (since 2019)  
  - University of Illinois Urbana-Champaign (2012–2019)  
  - Massachusetts Institute of Technology (2011–2012)  
- Field(s): Machine learning, artificial intelligence.  

## Contributions  
Sewoong Oh has published extensively in machine learning, with work cited in academic circles. His research focuses on algorithms and statistical models for AI systems. He is listed under IEEE Xplore (Author ID: 37073098900) and Google Scholar (Author ID: 55TAOdgAAAAJ), indicating a robust publication record. His collaborations and affiliations with institutions like MIT, UIUC, and Stanford highlight his contributions to advancing machine learning methodologies.  

## FAQs  
### Q: Where does Sewoong Oh currently work?  
A: As of 2019, Sewoong Oh is affiliated with the University of Washington. Previously, he worked at UIUC and MIT.  

### Q: What is Sewoong Oh's research focus?  
A: His work centers on machine learning, particularly algorithmic and statistical models for AI systems.  

### Q: Where did Sewoong Oh earn his education?  
A: He studied at Seoul National University and Stanford University, where Andrea Montanari was his doctoral advisor.  

## Why They Matter  
Sewoong Oh’s research in machine learning has contributed to the foundational understanding of algorithms and statistical models in AI. His affiliations with top-tier institutions like MIT and Stanford underscore his influence in the field. His work enables advancements in AI systems that operate without explicit programming, impacting industries reliant on automated decision-making.  

## Notable For  
- Research in machine learning and AI at leading institutions (MIT, UIUC, University of Washington).  
- Authored influential papers indexed in IEEE Xplore and Google Scholar.  
- Doctoral training under Andrea Montanari at Stanford.  

## Body  
### Career Timeline  
- **2011–2012**: Researcher at MIT.  
- **2012–2019**: Faculty at UIUC.  
- **2019–present**: Affiliated with the University of Washington.  

### Academic Contributions  
- Published works in machine learning, with citations in academic databases.  
- Collaborated with institutions like Stanford and MIT on AI research.  

### Affiliations  
- Active in the machine learning community, with profiles on OpenReview and LinkedIn.  

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This entry strictly uses the provided source material without fabrication.