# Yaw Anokwa

> Ph.D. University of Washington 2012

**Wikidata**: [Q102403567](https://www.wikidata.org/wiki/Q102403567)  
**Source**: https://4ort.xyz/entity/yaw-anokwa

## Summary
Yaw Anokwa is a computer scientist who earned his Ph.D. from the University of Washington in 2012. His doctoral research focused on improving clinical decision support in low-income regions. He studied under Gaetano Borriello, a prominent computer scientist and university teacher.

## Biography
- Born: Not specified
- Nationality: Not specified
- Education: Ph.D. in computer science or computer engineering from University of Washington (2012)
- Known for: Improving clinical decision support in low-income regions
- Employer(s): Not specified
- Field(s): Computer science, clinical decision support systems

## Contributions
Yaw Anokwa completed his doctoral dissertation titled "Improving Clinical Decision Support in Low-Income Regions" at the University of Washington in 2012. His work addressed critical challenges in healthcare delivery for underserved populations by developing technological solutions to enhance clinical decision-making processes. Anokwa's research was supervised by Gaetano Borriello, a respected computer scientist who earned his Ph.D. from UC Berkeley in 1988. The dissertation represents a significant contribution to the intersection of computer science and global health, focusing on practical applications that can improve healthcare outcomes in resource-constrained settings.

## FAQs
### Q: What was Yaw Anokwa's doctoral dissertation about?
A: His dissertation was titled "Improving Clinical Decision Support in Low-Income Regions," focusing on technological solutions for healthcare delivery in underserved areas.

### Q: Who was Yaw Anokwa's doctoral advisor?
A: Gaetano Borriello, a computer scientist who earned his Ph.D. from UC Berkeley in 1988.

### Q: When did Yaw Anokwa complete his Ph.D.?
A: He completed his Ph.D. from the University of Washington in 2012.

## Why They Matter
Yaw Anokwa's work on clinical decision support systems for low-income regions addresses a critical gap in global healthcare delivery. By applying computer science expertise to healthcare challenges in resource-constrained settings, Anokwa contributes to making quality medical care more accessible to underserved populations. His research under Gaetano Borriello's mentorship represents the practical application of technology to solve real-world problems, potentially improving health outcomes for millions of people who lack access to advanced medical infrastructure. This work exemplifies how computer science can be leveraged for social impact and global health equity.

## Notable For
- Completed Ph.D. in computer science at University of Washington in 2012
- Developed dissertation on clinical decision support for low-income regions
- Studied under Gaetano Borriello, prominent computer scientist
- Focused research on practical healthcare technology applications
- Contributed to intersection of computer science and global health

## Body
### Academic Background
Yaw Anokwa pursued his doctoral studies at the University of Washington, completing his Ph.D. in 2012. His academic focus was in computer science or computer engineering, though the specific department is not detailed in the source material.

### Research Focus
Anokwa's dissertation centered on improving clinical decision support systems specifically designed for low-income regions. This research area addresses the critical need for technological solutions that can function effectively in resource-constrained healthcare environments.

### Mentorship
His doctoral advisor was Gaetano Borriello, who earned his Ph.D. from UC Berkeley in 1988. Borriello's background as both a computer scientist and university teacher provided Anokwa with guidance from an established academic in the field.

### Academic Recognition
Anokwa is listed in the Mathematics Genealogy Project with ID 168890, indicating his formal recognition in the academic genealogy of mathematicians and computer scientists.

### Research Impact
While specific outcomes of his dissertation work are not detailed in the source material, the focus on clinical decision support for low-income regions suggests practical applications aimed at improving healthcare delivery in underserved communities through technological innovation.

## References

1. Mathematics Genealogy Project
2. WorldCat