# Nicolas Papernot

> French researcher and university professor

**Wikidata**: [Q115781242](https://www.wikidata.org/wiki/Q115781242)  
**Source**: https://4ort.xyz/entity/nicolas-papernot

## Summary
Nicolas Papernot is a French computer scientist and university professor specializing in machine learning. He serves as an assistant professor at the University of Toronto and is affiliated with the Vector Institute for artificial intelligence research.

## Biography
- Born: [date and place not provided in source material]
- Nationality: France
- Education:
  - Lycée Louis-le Grand (2010-2012)
  - École Centrale de Lyon (2012-2016) - engineering physics, diplôme d'ingénieur
  - Pennsylvania State University (2014-2016) - Master of Science in computer science and engineering
  - Pennsylvania State University (2016-2018) - Doctor of Philosophy in computer science and engineering
- Known for: Machine learning research
- Employer(s):
  - University of Toronto (assistant professor since September 2019)
  - Vector Institute (since September 2019)
- Field(s): Machine learning

## Contributions
Nicolas Papernot's research focuses on machine learning, though specific contributions, publications, or projects are not detailed in the provided source material. He maintains an active online presence through his personal website and YouTube channel, where he shares research content. Papernot has established a professional academic profile with identifiers in various academic databases including DBLP, Scopus, Google Scholar, and ResearchGate, indicating a substantial body of work in his field. His research appears to be situated at the intersection of computer science and machine learning, contributing to the advancement of artificial intelligence research through his academic positions.

## FAQs
### Q: Where does Nicolas Papernot currently work?
A: Nicolas Papernot is an assistant professor at the University of Toronto, affiliated with both the Edward S. Rogers Sr. Department of Electrical and Computer Engineering and the Department of Computer Science. He is also associated with the Vector Institute for artificial intelligence research.

### Q: What is Nicolas Papernot's educational background?
A: Papernot completed his education at several institutions, including Lycée Louis-le Grand (2010-2012), École Centrale de Lyon where he earned an engineering degree in engineering physics (2012-2016), and Pennsylvania State University where he obtained both a Master of Science (2014-2016) and a Doctor of Philosophy (2016-2018) in computer science and engineering.

### Q: What field does Nicolas Papernot specialize in?
A: Nicolas Papernot specializes in machine learning, as indicated by his field of work and research focus. His work is situated within the broader discipline of computer science.

### Q: Where can I find Nicolas Papernot's research and professional information?
A: Papernot maintains a professional website at https://www.papernot.fr/ and has profiles on various academic platforms including DBLP (author ID: 162/1405), Google Scholar (author ID: cGxq0cMAAAAJ), and ResearchGate (profile ID: Nicolas-Papernot).

## Why They Matter
Nicolas Papernot contributes to the advancement of machine learning research through his academic positions at the University of Toronto and the Vector Institute. As a French researcher working in Canada, he represents international collaboration in artificial intelligence research. His educational background spanning French and American institutions demonstrates a global perspective in computer science education. Through his teaching and research, Papernot helps train the next generation of machine learning experts while contributing to the growing field of artificial intelligence that increasingly shapes technology and society.

## Notable For
- Assistant professor at University of Toronto since September 2019
- Affiliated with the Vector Institute for artificial intelligence research
- Holds a Doctor of Philosophy in computer science and engineering from Pennsylvania State University
- Specializes in machine learning research
- Maintains active professional presence across multiple academic platforms

## Body
### Academic Background
Nicolas Papernot's educational journey began at Lycée Louis-le Grand from 2010 to 2012. He then attended École Centrale de Lyon from 2012 to 2016, where he earned a diplôme d'ingénieur in engineering physics. His graduate studies were completed at Pennsylvania State University, where he obtained a Master of Science in computer science and engineering (2014-2016) followed by a Doctor of Philosophy in the same field (2016-2018). His doctoral advisor was Patrick Drew McDaniel.

### Professional Positions
Papernot has been serving as an assistant professor at the University of Toronto since September 1, 2019. His appointment spans two departments: the Edward S. Rogers Sr. Department of Electrical and Computer Engineering and the Department of Computer Science. Concurrently, he has been affiliated with the Vector Institute since the same date, contributing to artificial intelligence research in Toronto.

### Research Focus
Papernot's work centers on machine learning, a field that studies algorithms and statistical models enabling computer systems to perform tasks without explicit instructions. His research contributes to the broader discipline of computer science, which encompasses the study of computation and computational systems.

### Digital Presence
Papernot maintains an active online presence through multiple platforms:
- Personal website: https://www.papernot.fr/
- YouTube channel: NicolasPapernot (channel ID: UCaYGW-TxYsW0ds37k2cSxMg)
- Professional profiles on DBLP, Scopus, Google Scholar, and ResearchGate
- LinkedIn profile with personal profile ID: nicolaspapernot

### Academic Identifiers
Papernot has established unique identifiers across various academic databases:
- DBLP author ID: 162/1405
- Scopus author ID: 56732917800
- Google Scholar author ID: cGxq0cMAAAAJ
- ResearchGate profile ID: Nicolas-Papernot
- ACM Digital Library author ID: 99658655259

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