# Mark Girolami

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/mark-girolami/

## Facts

| Field | Value |
| --- | --- |
| Citations | 20,257 |
| Field | Gaussian Processes and Bayesian Inference |
| h-index | 66 |
| i10-index | 212 |
| Last Known Institution | University of Cambridge |
| OpenAlex ID | https://openalex.org/A5045384249 |
| ORCID iD | https://orcid.org/0000-0003-3008-253X |
| Works | 459 |

## Researcher papers

- [Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease](https://scholariq.org/papers/naturally-occurring-human-urinary-peptides-for-use-in-diagnosis-of-chronic/)
- [Clinical proteomics: A need to define the field and to begin to set adequate standards](https://scholariq.org/papers/clinical-proteomics-a-need-to-define-the-field-and-to-begin-to-set-adequate/)

## Researcher topics

- [Markov Chains and Monte Carlo Methods](https://scholariq.org/topics/markov-chains-and-monte-carlo-methods/)
- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)
- [Probabilistic and Robust Engineering Design](https://scholariq.org/topics/probabilistic-and-robust-engineering-design/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)

## Researcher university

- [University of Cambridge](https://scholariq.org/institutions/university-of-cambridge/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.