# Max Stanford Tomlinson, Jr.

> Ph.D. University of California, San Diego 1988

**Wikidata**: [Q103253448](https://www.wikidata.org/wiki/Q103253448)  
**Source**: https://4ort.xyz/entity/max-stanford-tomlinson-jr

## Summary
Max Stanford Tomlinson, Jr. is an American computer scientist who earned his Ph.D. from the University of California, San Diego (UCSD) in 1988. He is recognized for his academic contributions to computer science, particularly under the mentorship of notable scholars Walter Savitch and David Rumelhart.

## Biography
- **Born**: [Date and place unknown]  
- **Nationality**: [Not specified]  
- **Education**: Ph.D. in Computer Science, University of California, San Diego (1988)  
- **Known for**: Academic research in computer science; doctoral work under Walter Savitch and David Rumelhart  
- **Employer(s)**: [Not specified]  
- **Field(s)**: Computer science  

## Contributions
Max Stanford Tomlinson, Jr.’s primary contributions stem from his academic work, culminating in a Ph.D. from UCSD in 1988. His research was guided by two prominent advisors: Walter Savitch, a renowned computer scientist and mathematician, and David Rumelhart, a pioneering psychologist and computer scientist. While specific publications or projects are not detailed in the source material, his doctoral studies under these influential figures positioned him within a lineage of impactful research in computer science. The integration of insights from both Savitch (known for his work in computational theory) and Rumelhart (recognized for advancements in artificial neural networks) likely shaped Tomlinson’s academic perspective, contributing to the broader evolution of the field during the late 20th century.

## FAQs
### Q: Where did Max Stanford Tomlinson, Jr. earn his Ph.D.?
A: He earned his Ph.D. in computer science from the University of California, San Diego in 1988.

### Q: Who were his doctoral advisors?
A: His doctoral advisors were Walter Savitch and David Rumelhart, both distinguished scholars in computer science and related fields.

### Q: What is he best known for?
A: He is best known for his academic contributions to computer science, particularly through his doctoral research at UCSD under notable advisors.

## Why They Matter
Max Stanford Tomlinson, Jr. holds significance in the field of computer science as a scholar trained by two leading figures: Walter Savitch, who contributed to computational theory, and David Rumelhart, a key architect of neural network research. His work reflects the interdisciplinary collaboration shaping computer science in the late 20th century. While specific impacts of his research are not detailed, his academic trajectory underscores the importance of mentorship and foundational research in advancing technological and theoretical knowledge. His inclusion in the Mathematics Genealogy Project further highlights his role in the academic lineage of computer science.

## Notable For
- Earned a Ph.D. in computer science from UCSD (1988).  
- Advised by Walter Savitch and David Rumelhart, prominent figures in computer science and psychology.  
- Listed in the Mathematics Genealogy Project (ID: 253676).  

## Body
### Academic Career
Tomlinson pursued graduate studies at the University of California, San Diego, completing his Ph.D. in 1988. His research was supervised by Walter Savitch and David Rumelhart, both of whom were influential in their respective domains. Savitch’s work in computational complexity and Rumelhart’s advancements in neural networks provided a rich intellectual framework for Tomlinson’s academic development.

### Advisors
- **Walter Savitch** (1943–2021): A mathematician and computer scientist known for contributions to computational theory, particularly Savitch’s theorem.  
- **David Rumelhart** (1942–2011): A psychologist and computer scientist recognized for foundational work in artificial neural networks and cognitive science.  

### Research Focus
While specific research topics or publications are not enumerated in the source material, Tomlinson’s doctoral work under Savitch and Rumelhart suggests engagement with theoretical computer science and interdisciplinary applications of neural networks. His academic credentials align with the broader context of UCSD’s reputation for innovation in computing and cognitive science during the 1980s.

## Schema Markup
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  "@type": "Person",
  "name": "Max Stanford Tomlinson, Jr.",
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## References

1. Mathematics Genealogy Project