cv
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Basics
| Name | Stéphane Peyrégne |
| Position | CNRS researcher |
| stephanepeyregne (at) gmail.com | |
| Phone | (912) 123-4567 |
| Url | https://stephanepeyregne.github.io |
| Summary | Paleogeneticist |
Work
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2026.02 - Present Paris, France
Education
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2014.05 - 2019.11 Leipzig, Germany
Awards
- 2026.01.07
2025 Georges Brahms Prize
CNRS Foundation, CNRS Biology
Established in recognition of Georges Brahms’ legacy, this annual prize honors a researcher in the field of DNA biology and supports the development of their independent research career.
Publications
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2022.07.11 The evolutionary history of human spindle genes includes back-and-forth gene flow with Neandertals
eLife
Identification of a DNA segment in Neandertal genomes inherited from the ancestors or relatives of modern humans
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2019.06.01 Nuclear DNA from two early Neandertals reveals 80,000 years of genetic continuity in Europe
Science Advances
Genome-wide data from two Neandertals who lived in Europe around 120,000 years ago
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2017.09.01 Detecting ancient positive selection in humans using extended lineage sorting
Genome research
A method that leverages archaic human genomes to detect older events of positive selection than previously possible.
Skills
| Paleogenomics | |
| Population genetics | |
| Ancient DNA |
| Bioinformatics | |
| Programming | |
| Simulation |
Languages
| French | |
| Native speaker |
| English | |
| Fluent |
| Spanish | |
| Intermediate |
| German | |
| Novice |
Interests
| Evolutionary genetics | ||||
| Natural selection | ||||
| Adaptation | ||||
| Evolutionary trade-offs | ||||
| Human evolution | ||||
| Archaic humans | ||||
| Human origins | ||||
| Population history | ||||
| Ancient DNA | ||||
| Paleogenomics | ||||
| DNA damage | ||||
| Contamination estimation | ||||
| Population genomics | ||||
| Admixture | ||||
| Gene flow | ||||
| Genetic diversity | ||||
| Method development | ||||
| Statistical methods | ||||
| Simulation | ||||
| Computational biology | ||||
Projects
- 2026.02 - 2029.02
The Evolutionary Rise of Modern Disease Risk
We investigate the evolutionary origins of genetic risk for complex diseases by integrating ancient genomes with modern genomic and medical data.
- Evolutionary medicine
- Disease genetics