# Albert Ng

> master of Computer Science & Engineering, University of Washington, 2018

**Wikidata**: [Q113667927](https://www.wikidata.org/wiki/Q113667927)  
**Source**: https://4ort.xyz/entity/albert-ng

## Summary
Albert Ng is a computer scientist and engineer who earned his master’s degree in Computer Science & Engineering from the University of Washington in 2018. His work focuses on computational research, exemplified by his thesis on detecting beta-barrels in cryo-electron microscopy density maps. As a technology specialist, he contributes to advancements in computational systems and theoretical computer science.

## Biography
- **Born**: 1990  
- **Nationality**: [Not specified]  
- **Education**: Master’s degree in Computer Science & Engineering, University of Washington (2018)  
- **Known for**: Research on beta-barrel detection in cryo-electron microscopy  
- **Employer(s)**: [Not specified]  
- **Field(s)**: Computer science, computational biology  

## Contributions
Albert Ng’s primary contribution is his master’s thesis, *Detection of Beta-barrels from Medium Resolution Cryo-electron Microscopy Density Maps* (2018). This work addresses a critical challenge in structural biology by developing computational methods to identify beta-barrel structures—common in membrane proteins—using medium-resolution imaging data. The research supports advancements in protein structure prediction, which is essential for drug discovery and understanding molecular mechanisms.

## FAQs
### Q: Where did Albert Ng complete his graduate studies?  
A: He earned his master’s degree in Computer Science & Engineering at the University of Washington in 2018.  

### Q: What is Albert Ng’s notable research focus?  
A: His thesis work centered on detecting beta-barrel structures in cryo-electron microscopy data, bridging computational methods and structural biology.  

### Q: How is Albert Ng classified professionally?  
A: He is categorized as a computer scientist (ISCO-08 code 2511) and technology specialist, focusing on theoretical and applied computational research.  

## Why They Matter  
Albert Ng’s research contributes to the intersection of computer science and biology, enhancing tools for analyzing molecular structures. His work on beta-barrel detection improves the accuracy of protein modeling, which is foundational for biomedical research and pharmaceutical development. As a computer scientist, he exemplifies the field’s role in driving interdisciplinary innovation, particularly in data-intensive scientific domains.

## Notable For  
- Master’s degree in Computer Science & Engineering from the University of Washington (2018).  
- Thesis on beta-barrel detection in cryo-electron microscopy, advancing computational biology tools.  
- Association with the WikiProject PCC Wikidata Pilot/University of Washington, highlighting academic engagement.  

## Body  
### Education  
Albert Ng pursued graduate studies at the University of Washington, completing his master’s degree in Computer Science & Engineering in 2018. His academic work included specialized research in computational biology, reflected in his thesis titled *Detection of Beta-barrels from Medium Resolution Cryo-electron Microscopy Density Maps*.  

### Research Contributions  
Ng’s thesis addresses a key challenge in structural biology: accurately identifying beta-barrel structures in proteins using medium-resolution cryo-electron microscopy (cryo-EM) data. Beta-barrels are critical components of membrane proteins, which are often targets for drug development. By developing computational methods to detect these structures, Ng’s work supports more efficient and accurate protein modeling. This research aligns with broader efforts in computer science to apply algorithmic and analytical tools to complex scientific datasets.  

### Professional Classification  
As a computer scientist, Ng is classified under ISCO-08 code 2511, recognizing his role in applying theoretical computational principles to practical problems. His work reflects the interdisciplinary nature of computer science, integrating insights from biology, mathematics, and engineering.  

### Academic Engagement  
Ng’s research is associated with the WikiProject PCC Wikidata Pilot/University of Washington, a project focused on enhancing knowledge sharing and data accessibility in academic contexts. This affiliation underscores his contribution to collaborative scientific initiatives and open research frameworks.  

### Broader Impact  
While specific career details beyond his academic work are not provided, Ng’s research contributes to the foundational tools used in structural biology. Improved methods for analyzing cryo-EM data enable scientists to study proteins at higher resolutions, accelerating discoveries in fields such as virology, neuroscience, and pharmacology. His work exemplifies how computer scientists drive progress in data-driven disciplines, transforming raw information into actionable insights.

## References

1. WorldCat