# José Miguel Hernández-Lobato

> machine learning researcher

**Wikidata**: [Q111021919](https://www.wikidata.org/wiki/Q111021919)  
**Source**: https://4ort.xyz/entity/jose-miguel-hernandez-lobato

## Summary
José Miguel Hernández-Lobato is a machine learning researcher and computer scientist. He holds a doctorate from the Autonomous University of Madrid and is recognized within the academic community through various identifiers. His work focuses on methodologies and applications within the field of computer science.

## Biography
- Born: [Not available]
- Nationality: [Not available]
- Education: Doctorate from the Autonomous University of Madrid (ended 2010).
- Known for: Machine learning research.
- Employer(s): [Not available]
- Field(s): Machine learning, Computer science

## Contributions
José Miguel Hernández-Lobato is a machine learning researcher and computer scientist whose work is documented through various academic channels. His contributions are primarily focused on advancing the field of machine learning, a subset of computer science. He maintains a presence in the academic community through identifiers such as the DBLP author ID (40/6058) and the Google Scholar author ID (BEBccCQAAAAJ), which track his publications and citations. Additionally, he is recognized in the Mathematics Genealogy Project (ID: 303316), linking him to his academic lineage. His research efforts contribute to the broader understanding of computational methods and algorithms.

## FAQs
### Q: What is José Miguel Hernández-Lobato's profession?
A: He is a machine learning researcher and computer scientist.

### Q: Where did he earn his doctorate?
A: He earned his doctorate from the Autonomous University of Madrid, completing it in 2010.

### Q: How can I find his academic publications?
A: His work is indexed under the DBLP author ID 40/6058 and the Google Scholar author ID BEBccCQAAAAJ.

### Q: What are his aliases?
A: He is also known as José Hernández-Lobato and Hernández-Lobato JM.

## Why They Matter
José Miguel Hernández-Lobato is significant as a documented contributor to the fields of machine learning and computer science. His work is integral to the academic ecosystem, as evidenced by his inclusion in major bibliographic databases like DBLP and Google Scholar. These platforms allow researchers to access and cite his findings, facilitating the exchange of knowledge within the scientific community. Furthermore, his presence in the Mathematics Genealogy Project highlights his role in the lineage of mathematical and computational researchers. His contributions help shape the discourse around machine learning methodologies and applications.

## Notable For
- Holds multiple academic identifiers, including DBLP ID 40/6058 and Google Scholar ID BEBccCQAAAAJ.
- Known by aliases such as José Hernández-Lobato and Hernández-Lobato JM.
- Active on social media under the handle @jmhernandez233 since 2012.
- Tracked in the Mathematics Genealogy Project with ID 303316.

## Body

### Identity and Background
José Miguel Hernández-Lobato is a human and a computer scientist. He identifies as male. His full name includes the second family name "Lobato," making his complete name José Miguel Hernández-Lobato. He is also known by the aliases José Hernández-Lobato and Hernández-Lobato JM.

### Academic Affiliations and Education
He is educated at the Autonomous University of Madrid. He holds a doctorate (P512: doctorate) from this institution, with the end time recorded as 2010. His academic lineage is tracked by the Mathematics Genealogy Project under ID 303316.

### Research Focus and Identification
His primary occupation is that of a machine learning researcher. His work is categorized under the field of computer science. He is indexed in major academic databases to facilitate the discovery of his research, including:
*   **DBLP:** Author ID 40/6058
*   **Google Scholar:** Author ID BEBccCQAAAAJ
*   **Microsoft Research:** Author ID 941536