# Augusto Stoffel

> mathematician with a computer science background working as a developer in the field of machine learning

**Wikidata**: [Q103222318](https://www.wikidata.org/wiki/Q103222318)  
**Source**: https://4ort.xyz/entity/augusto-stoffel

## Summary  
Augusto Stoffel is a Brazilian computer scientist and mathematician working in the field of machine learning. He is best known for developing popular Emacs tools such as `emacs-code-cells`, `emacs-jit-spell`, and `emacs-devdocs`.

## Biography  
- **Born**: Unknown date and place  
- **Nationality**: Brazil  
- **Education**: Ph.D. in Mathematics, University of Notre Dame  
- **Known for**: Creating widely used Emacs packages and contributing to machine learning development tools  
- **Employer(s)**: Currently active as a developer in machine learning (specific employer not listed)  
- **Field(s)**: Machine learning, computer science, mathematical software  

## Contributions  
Augusto Stoffel has made significant contributions through the creation of Emacs-based tools that enhance productivity for developers and researchers. His most notable projects include:

- **emacs-code-cells** (incepted May 22, 2020): A utility enabling interactive code execution within Emacs, particularly useful for Jupyter-style workflows.
- **emacs-jit-spell** (incepted March 4, 2023): An efficient just-in-time spell-checking package designed for performance and usability in large documents.
- **emacs-devdocs** (incepted 2021): An integrated viewer for DevDocs.io inside Emacs, streamlining access to technical documentation during coding sessions.

These tools reflect his commitment to improving developer environments while leveraging functional design principles rooted in both mathematics and practical programming experience.

## FAQs  
### Q: What is Augusto Stoffel known for?  
A: Augusto Stoffel is recognized for creating influential Emacs extensions like `code-cells`, `jit-spell`, and `devdocs`. These tools improve how users interact with code and documentation within the Emacs environment.

### Q: Where did Augusto Stoffel study?  
A: He earned his doctorate in Mathematics from the University of Notre Dame under the supervision of Stephan Stolz.

### Q: Is Augusto Stoffel involved in machine learning?  
A: Yes, he works professionally in the field of machine learning and integrates this expertise into tool-building for computational environments.

## Why They Matter  
Augusto Stoffel's work bridges abstract mathematical thinking with tangible improvements in developer workflow efficiency. By focusing on enhancing Emacs—an extensible text editor favored by programmers and scientists—he contributes to making complex computing more accessible. His packages have gained traction among professionals who rely on literate programming or reproducible research practices. Without these innovations, many developers might face steeper learning curves when integrating documentation, debugging, and spell-check capabilities seamlessly into their editing process.

## Notable For  
- Creator of `emacs-code-cells` – a tool supporting notebook-like interaction in Emacs  
- Developer of `emacs-jit-spell` – a high-performance spell checker tailored for Emacs  
- Author of `emacs-devdocs` – which brings fast offline documentation lookup to Emacs  
- Holder of MR Author ID 1309963 and Mathematics Genealogy Project ID 252176  
- Listed contributor on ResearchGate with over two million contribution views  

## Body  
### Academic Background  
Augusto Stoffel completed his doctoral studies at the University of Notre Dame, where he focused on mathematics under advisor Stephan Stolz. His academic profile includes identifiers across multiple authoritative databases including WorldCat Entities, VIAF, ISNI, and Library of Congress Authority records.

### Open Source Development  
Stoffel maintains several open-source Emacs Lisp projects hosted on GitHub under username `astoff`. All three major packages were initiated between 2020 and 2023:
- **code-cells.el** started on May 22, 2020
- **jit-spell** launched on March 4, 2023
- **devdocs** began in 2021

Each project addresses distinct aspects of programmer ergonomics—from inline computation support to contextual help systems—making them valuable additions to modern development stacks involving Emacs.

### Professional Involvement  
He identifies professionally as a developer specializing in machine learning technologies. Public profiles indicate engagement with EuroPython conferences, suggesting involvement in broader European tech communities around AI and Python-based infrastructure.

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## References

1. Mathematics Genealogy Project
2. [Source](https://ep2021.europython.eu/profiles/-811890/)