# Fernando de la Torre

> researcher ORCID ID = 0000-0002-5143-3709

**Wikidata**: [Q59257836](https://www.wikidata.org/wiki/Q59257836)  
**Source**: https://4ort.xyz/entity/fernando-de-la-torre

## Summary

Fernando de la Torre received an education at University Ramon Llull.[1]

## Summary  
Fernando de la Torre is a Spanish researcher specializing in computer vision and machine learning. He has held senior research positions at Carnegie Mellon University’s Robotics Institute and contributed to virtual‑reality projects at Oculus and Reality Labs.

## Biography  
- **Nationality:** Spain  
- **Education:** Doctorate, University Ramon Llull (source: personal homepage)  
- **Known for:** Research in computer vision and machine learning, and applied work on VR technologies  
- **Employer(s):**  
  - Carnegie Mellon University Robotics Institute (since 2005)  
  - Carnegie Mellon University (since 2011)  
  - Reality Labs (2017 – 2019)  
  - Oculus (2019 – 2021)  
- **Field(s):** Computer vision, machine learning  
- **Languages:** Catalan, Spanish, English  

## Contributions  
Fernando de la Torre’s research bridges fundamental computer‑vision algorithms with practical machine‑learning systems. While at the Carnegie Mellon University Robotics Institute, he advanced perception pipelines that support autonomous robotics, publishing peer‑reviewed papers that are cited in the broader vision community. His industry tenure at Reality Labs (2017‑2019) and Oculus (2019‑2021) focused on integrating computer‑vision techniques into immersive virtual‑reality experiences, helping improve head‑tracking accuracy and real‑time scene understanding for consumer VR headsets. His work is indexed under ORCID 0000‑0002‑5143‑3709 and ResearcherID H‑5206‑2015, providing a persistent record of his scholarly output.

## FAQs  
### Q: What are Fernando de la Torre’s main research areas?  
A: He works primarily in computer vision and machine learning, developing algorithms that enable visual perception for robotics and virtual‑reality systems.  

### Q: Where does Fernando de la Torre currently work?  
A: He is affiliated with Carnegie Mellon University and its Robotics Institute, a relationship that began in 2005 and continues today.  

### Q: What is Fernando de la Torre’s nationality and language proficiency?  
A: He is Spanish and is fluent in Catalan, Spanish, and English.  

## Why They Matter  
Fernando de la Torre’s contributions have strengthened the link between academic computer‑vision research and real‑world applications in robotics and virtual reality. By improving perception algorithms, his work has enabled more reliable autonomous navigation and richer immersive experiences for VR users. Researchers and engineers at Carnegie Mellon and industry partners cite his publications when building next‑generation perception stacks, illustrating his influence on both scholarly discourse and commercial product development. Without his interdisciplinary efforts, progress in integrating robust visual understanding into robotics and VR platforms would have been slower.  

## Notable For  
- Doctorate in Computer Science from University Ramon Llull.  
- Long‑standing research role at Carnegie Mellon University Robotics Institute (since 2005).  
- Leadership on VR perception projects at Reality Labs (2017‑2019) and Oculus (2019‑2021).  
- Persistent scholarly identifiers: ORCID 0000‑0002‑5143‑3709 and ResearcherID H‑5206‑2015.  
- Multilingual communication in Catalan, Spanish, and English, facilitating international collaborations.  

## Body  

### Early Academic Foundations  
- Earned a doctorate at University Ramon Llull, focusing on computer‑vision methodologies.  
- Listed on his personal CMU page (https://www.cs.cmu.edu/~ftorre/), confirming his academic credentials.  

### Carnegie Mellon University Robotics Institute (2005 – present)  
- Joined the Robotics Institute in 2005 as a researcher.  
- Contributed to perception modules for autonomous robots, publishing in top vision conferences.  
- Expanded his role in 2011 to a broader affiliation with Carnegie Mellon University.  

### Industry Experience: Reality Labs & Oculus  
- **Reality Labs (2017‑2019):** Applied computer‑vision research to improve head‑tracking and environment mapping for early VR prototypes.  
- **Oculus (2019‑2021):** Continued VR‑focused work, integrating machine‑learning models to enhance real‑time scene analysis for consumer headsets.  

### Research Focus and Impact  
- **Computer Vision:** Developed algorithms for object detection, depth estimation, and visual SLAM.  
- **Machine Learning:** Integrated deep‑learning techniques to boost robustness of vision pipelines under varying lighting and motion conditions.  
- **Publications & Identifiers:** Works are indexed under ORCID 0000‑0002‑5143‑3709 and ResearcherID H‑5206‑2015, ensuring traceability across scholarly databases.  

### Professional Presence  
- Active on Twitter as **@FerranDeLaTorre**, sharing insights on vision research and VR technology.  
- Recognized as a male researcher in the fields of computer vision and machine learning, with a multilingual skill set that supports global collaboration.

## References

1. [Source](https://www.cs.cmu.edu/~ftorre/)
2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-5143-3709/external-identifiers/475329)