# Ramzi Nasr

> Ph.D. University of California, Irvine 2011

**Wikidata**: [Q102395683](https://www.wikidata.org/wiki/Q102395683)  
**Source**: https://4ort.xyz/entity/ramzi-nasr

## Summary
Ramzi Nasr is a Lebanese-American computer scientist known for his contributions to machine learning and artificial intelligence. He earned his Ph.D. in 2011 from the University of California, Irvine, under the guidance of Professor Pierre Baldi. His work lies at the intersection of computational modeling and real-world applications.

## Biography
- Born: Lebanon  
- Nationality: Lebanese-American  
- Education: Ph.D., University of California, Irvine (2011)  
- Known for: Advancing research in machine learning and AI systems  
- Employer(s): VideoAmp (current); University of California, Irvine (alma mater affiliation)  
- Field(s): Computer Science, Artificial Intelligence  

## Contributions
Ramzi Nasr has made significant strides in applying machine learning techniques to practical problems within digital advertising and media analytics. As part of his professional journey, he transitioned into leadership roles at innovative tech companies such as VideoAmp, where he contributes to building data-driven platforms that optimize ad targeting and audience engagement. While specific publications are not listed in the source material, his academic training under Pierre Baldi—a renowned figure in bioinformatics and AI—suggests foundational expertise in probabilistic models and neural networks. His applied focus bridges theoretical computer science with scalable industry solutions.

## FAQs
### Q: Where did Ramzi Nasr get his PhD?
A: Ramzi Nasr earned his Ph.D. from the University of California, Irvine in 2011.

### Q: Who was Ramzi Nasr's doctoral advisor?
A: His doctoral advisor was Pierre Baldi, a prominent professor of computer science at UC Irvine.

### Q: What does Ramzi Nasr do now?
A: He currently works at VideoAmp, contributing to advancements in data analytics and advertising technology.

## Why They Matter
Ramzi Nasr plays a key role in translating advanced computational methods into impactful business technologies. Through his position at VideoAmp, he influences how large-scale data is used to enhance marketing strategies and consumer insights. By bridging academia and industry, Nasr exemplifies the modern computer scientist who applies rigorous scientific principles to solve complex commercial challenges. His career trajectory reflects the growing importance of interdisciplinary approaches in artificial intelligence deployment across sectors like media and advertising.

## Notable For
- Earning a Ph.D. in Computer Science from UC Irvine in 2011  
- Working under advisor Pierre Baldi, a leader in AI and bioinformatics  
- Holding a technical leadership role at VideoAmp  
- Bridging academic research with real-world AI applications  
- Being recognized in both academic and industrial contexts through identifiers like Google Knowledge Graph and Mathematics Genealogy Project  

## Body
### Academic Background
Ramzi Nasr completed his Doctor of Philosophy degree in Computer Science at the University of California, Irvine in 2011. During this time, he conducted research under the supervision of Dr. Pierre Baldi, whose own scholarly footprint includes extensive work in machine learning, computational biology, and artificial neural networks.

### Professional Trajectory
Following his academic pursuits, Nasr joined VideoAmp, a data and analytics platform company focused on transforming television and video advertising. At VideoAmp, he holds a strategic role involving the development and application of algorithmic tools that drive performance-based advertising decisions.

### Identity and Recognition
Nasr is identified as a computer scientist specializing in artificial intelligence and data modeling. Publicly available identifiers confirm his presence in academic databases including:
- Academic Tree ID: 143575
- Mathematics Genealogy Project ID: 162444
- Google Knowledge Graph ID: /g/11gmzg3rnq

These markers affirm his formal recognition within academic circles and highlight his continued relevance in technological innovation.

## References

1. [Source](https://videoamp.com/blog/transformation-series-ramzi-nasr/)
2. Mathematics Genealogy Project