# Samuel S. Schoenholz

> researcher

**Wikidata**: [Q89025506](https://www.wikidata.org/wiki/Q89025506)  
**Source**: https://4ort.xyz/entity/samuel-s-schoenholz

## Summary
Samuel S. Schoenholz is an American physicist and computer scientist known for his research in artificial intelligence and machine learning. He has held research positions at Google and OpenAI, contributing to advancements in AI systems and deep learning architectures.

## Biography
- Born: Not specified
- Nationality: American
- Education: University of Pennsylvania (PhD), Swarthmore College, International School of Geneva
- Known for: Research in AI and machine learning, contributions to deep learning architectures
- Employer(s): University of Pennsylvania (2009-2015), Harvard University (2015-2016), Google (2016-2022), OpenAI (2022-2025), Thinking Machines Lab (2025-present)
- Field(s): Physics, computer science, artificial intelligence

## Contributions
Samuel S. Schoenholz has made significant contributions to the field of artificial intelligence through his research at Google and OpenAI. His work has focused on deep learning architectures and AI systems, helping to advance the capabilities of neural networks and machine learning models. At Google, he was part of the team that developed foundational AI technologies, while at OpenAI, he contributed to cutting-edge research in artificial general intelligence. His research has been published in academic journals and presented at major conferences in the field of machine learning and AI.

## FAQs
### Q: What is Samuel S. Schoenholz known for?
A: Samuel S. Schoenholz is known for his research in artificial intelligence and machine learning, particularly his work on deep learning architectures and neural networks at Google and OpenAI.

### Q: Where did Samuel S. Schoenholz receive his education?
A: Samuel S. Schoenholz received his PhD from the University of Pennsylvania, and also attended Swarthmore College and the International School of Geneva.

### Q: What companies has Samuel S. Schoenholz worked for?
A: Samuel S. Schoenholz has worked for University of Pennsylvania, Harvard University, Google, OpenAI, and Thinking Machines Lab.

## Why They Matter
Samuel S. Schoenholz's research has contributed to the advancement of artificial intelligence and machine learning technologies that power many modern AI applications. His work on deep learning architectures has helped improve the performance and capabilities of neural networks, which are fundamental to many AI systems today. Through his positions at leading research institutions like Google and OpenAI, Schoenholz has been at the forefront of AI development, helping to push the boundaries of what's possible in machine learning and artificial intelligence.

## Notable For
- Research contributions to deep learning architectures at Google
- Work on artificial general intelligence at OpenAI
- PhD in physics from University of Pennsylvania
- Publications in major machine learning and AI conferences
- Transition from physics to computer science and AI research

## Body
### Academic Background
Samuel S. Schoenholz completed his PhD in physics at the University of Pennsylvania, where he was advised by Andrea Liu. His doctoral research laid the foundation for his later transition into computer science and artificial intelligence.

### Career Trajectory
Schoenholz's career has followed a path through academia and industry research. He began as a researcher at the University of Pennsylvania (2009-2015), then moved to Harvard University for a brief period (2015-2016) before joining Google's research team in 2016. At Google, he worked on AI and machine learning projects until 2022, when he moved to OpenAI to work on artificial general intelligence research. In 2025, he joined Thinking Machines Lab.

### Research Focus
His research has primarily focused on deep learning architectures and neural network design. At Google, he contributed to foundational AI technologies, while at OpenAI, his work has centered on advancing artificial general intelligence capabilities. His background in physics has informed his approach to complex computational problems in AI.

### Publications and Impact
Schoenholz has published research in major machine learning and AI conferences, contributing to the academic discourse in his field. His work has been influential in advancing the state of the art in neural network architectures and deep learning systems.

## References

1. LinkedIn
2. [Source](https://thinkingmachines.ai/)