# Danica Sutherland

> Ph.D. Carnegie Mellon University 2016

**Wikidata**: [Q102687279](https://www.wikidata.org/wiki/Q102687279)  
**Source**: https://4ort.xyz/entity/danica-sutherland

## Summary

Danica Sutherland is a computer scientist and docent [1]. She earned her education at Carnegie Mellon University and Swarthmore College [2][3]. Sutherland works at the University of British Columbia, the Alberta Machine Intelligence Institute, and University College London [3].

## Summary
Danica Sutherland is a trans woman computer scientist and docent at the University of British Columbia, specializing in machine learning. She earned her Ph.D. from Carnegie Mellon University in 2016 and has since contributed to research and education in the field, working across institutions including the Alberta Machine Intelligence Institute and University College London.

## Biography
- Born: [Not specified]
- Nationality: Canadian
- Education:
  - Ph.D. in Computer Science, Carnegie Mellon University (2016)
  - Master's degree in Computer Science, Carnegie Mellon University (2011)
  - Bachelor's degree in Computer Science, Swarthmore College (2011)
- Known for: Research in machine learning and contributions to academic education in computer science.
- Employer(s):
  - University of British Columbia (current)
  - Alberta Machine Intelligence Institute
  - University College London
- Field(s): Machine learning, computer science

## Contributions
Danica Sutherland has focused her academic career on advancing machine learning research and education. Her work includes doctoral research under the supervision of Jeff Schneider, with a particular emphasis on developing algorithms and statistical models for computational tasks. She has published her research through platforms like Google Scholar and DBLP, contributing to the broader field of machine learning. Her academic appointments at institutions such as the University of British Columbia and University College London reflect her commitment to teaching and mentoring future computer scientists.

## FAQs
### Q: What is Danica Sutherland's primary area of research?
A: Danica Sutherland specializes in machine learning, focusing on the development of algorithms and statistical models for computational tasks.

### Q: Where did Danica Sutherland earn her Ph.D.?
A: Danica Sutherland earned her Ph.D. in Computer Science from Carnegie Mellon University in 2016.

### Q: What institutions has Danica Sutherland been affiliated with?
A: Danica Sutherland has been affiliated with the University of British Columbia, the Alberta Machine Intelligence Institute, and University College London.

### Q: What is Danica Sutherland's gender identity?
A: Danica Sutherland identifies as a trans woman.

### Q: How can I find Danica Sutherland's publications?
A: Danica Sutherland's publications can be found on platforms like Google Scholar (ID: uO_NqicAAAAJ) and DBLP (author ID: 92/10966).

## Why They Matter
Danica Sutherland's contributions to machine learning and computer science have helped shape the academic landscape, particularly in areas related to algorithm development and statistical modeling. Her work has influenced students and researchers at institutions where she has taught and conducted research. By advancing the field of machine learning, she has laid the groundwork for future innovations in computational problem-solving.

## Notable For
- Ph.D. from Carnegie Mellon University (2016), specializing in machine learning.
- Docent at the University of British Columbia, contributing to computer science education.
- Research in machine learning algorithms and statistical models.
- Affiliations with multiple academic institutions, including the Alberta Machine Intelligence Institute and University College London.
- Identification as a trans woman in the field of computer science.

## Body
### Education and Early Career
Danica Sutherland began her academic journey with a bachelor's degree in computer science from Swarthmore College, completed in 2011. She continued her studies at Carnegie Mellon University, earning a master's degree in computer science in 2011 and a Ph.D. in 2016 under the supervision of Jeff Schneider. Her doctoral research focused on machine learning, contributing to the development of algorithms and statistical models.

### Academic Appointments
Following her Ph.D., Sutherland joined the faculty at the University of British Columbia, where she currently serves as a docent. She has also been affiliated with the Alberta Machine Intelligence Institute and University College London, further expanding her contributions to the field of machine learning.

### Research and Publications
Sutherland's research has been published through various academic platforms, including Google Scholar and DBLP. Her work has been influential in advancing the understanding of machine learning algorithms and their applications in computational tasks.

### Personal and Professional Identity
In addition to her academic achievements, Sutherland is known for her identification as a trans woman, which has been recognized in various professional contexts. Her personal pronouns, "L484" and "L371," reflect her identity and are used in professional settings.

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## References

1. Mathematics Genealogy Project
2. [Source](https://djsutherland.ml/cv.pdf)
3. [Danica Sutherland | Computer Science at UBC](https://www.cs.ubc.ca/people/danica-sutherland)
4. [Team](https://www.queerinai.com/team)