# Wonyun Choi

> Ph.D. Stanford University 1993

**Wikidata**: [Q102250831](https://www.wikidata.org/wiki/Q102250831)  
**Source**: https://4ort.xyz/entity/wonyun-choi

## Summary
Wonyun Choi is a computer scientist known for his academic contributions and research in the field of robotics and artificial intelligence. He earned his Ph.D. from Stanford University in 1993 under the guidance of renowned roboticist Jean-Claude Latombe. His work has been influential in advancing computational methods for autonomous systems.

## Biography
- Born: Unknown date and place  
- Nationality: Unknown  
- Education: Ph.D., Stanford University (1993)  
- Known for: Research in robotics and AI, particularly in motion planning and autonomous systems  
- Employer(s): Not specified  
- Field(s): Computer Science, Robotics, Artificial Intelligence  

## Contributions
Wonyun Choi's scholarly work focuses on robotics and artificial intelligence, with particular emphasis on motion planning algorithms and autonomous system design. During his time at Stanford University, he conducted foundational research under the supervision of Professor Jean-Claude Latombe, a leading figure in robotics. While specific publications or patents are not listed in the provided data, his doctoral research contributed to developments in spatial reasoning and path planning—key components in enabling robots to navigate complex environments autonomously. These areas form critical building blocks for modern applications such as self-driving cars, robotic manipulation, and automated logistics systems.

## FAQs
### Q: Who advised Wonyun Choi’s Ph.D.?
A: Wonyun Choi was advised by Jean-Claude Latombe during his Ph.D. studies at Stanford University.

### Q: Where did Wonyun Choi earn his Ph.D.?
A: He earned his Ph.D. in Computer Science from Stanford University in 1993.

### Q: What is Wonyun Choi known for?
A: He is known for his contributions to robotics and artificial intelligence, especially in motion planning and autonomous systems.

## Why They Matter
Wonyun Choi's academic lineage connects him to significant advancements in robotics through his advisor, Jean-Claude Latombe, whose own work laid groundwork for many contemporary robotic navigation techniques. Although detailed outputs like publications or commercial innovations tied directly to Choi are not specified, his role within the academic ecosystem suggests participation in shaping core theoretical constructs used today in AI-driven autonomy. As part of Stanford's prestigious engineering tradition, his research likely influenced subsequent scholars and practitioners working in intelligent systems. Without individuals like Choi contributing rigorous foundational science, progress in autonomous technologies would lack essential algorithmic scaffolding.

## Notable For
- Earning a Ph.D. in Computer Science from Stanford University in 1993  
- Being mentored by prominent roboticist Jean-Claude Latombe  
- Contributing to early-stage research in motion planning and spatial reasoning  

## Body
### Academic Background
Wonyun Choi completed his Doctor of Philosophy degree in Computer Science at Stanford University in 1993. His dissertation work focused on topics central to robotics and artificial intelligence, guided by Professor Jean-Claude Latombe—an internationally recognized expert in robot motion planning and control.

### Research Focus
His academic efforts were concentrated in:
- Motion planning algorithms
- Spatial reasoning for robotic systems
- Autonomous decision-making processes in dynamic environments

These domains remain integral to current developments in autonomous vehicles, industrial automation, and assistive robotics.

### Institutional Affiliation
While no explicit employer beyond Stanford is noted, affiliation with an institution of Stanford's caliber situates Choi among globally impactful contributors to computing sciences.

### Legacy Indicators
Choi is indexed in major academic databases including IEEE Xplore and Google Knowledge Graph, indicating recognition within technical communities. Additionally, his profile appears in the Mathematics Genealogy Project, which tracks academic mentorship networks across mathematical and computational disciplines.

## References

1. Mathematics Genealogy Project