CV

Education

PhD in statistical ecology, 2020-2024
- Laboratory of Biometry and Evolutionary Biology (University Lyon 1)
- Supervisors: Stéphane Dray, Hervé Fritz
MSc “Ecology, Evolution, Genomics”, 2019-2020
- University Lyon 1
Master of Engineering “Bioinformatics and modeling”, 2017-2020
- INSA Lyon

Professional experience

Postdoc in conservation ecology, 2024-present
- FRB-Cesab, DRAGON project
- Supervisors: Colin Fontaine, Reto Schmucki
Complementary teaching activity, 2020-2022
- University Lyon 1
- Teaching statistics and R programming at an undergraduate level (64 hours a year)
Research internship in statistical ecology, January-June 2020
- Laboratory of Biometry and Evolutionary Biology
- Inference and analysis of African mammals co-occurrence networks from camera trap data
- Supervisors: Stéphane Dray, Hervé Fritz
Bioinformatics internship, May-August 2019
- MaaT Pharma
- Design and creation of a database (PostgreSQL) and development of a web application for visualization and analysis of metagenomics data (R Shiny)
- Supervisors: Lilia Boucinha, Cyrielle Gasc

Skills

Programming
- R, Python, C++
- SQL
- Git version control system
- Unix command line
- Use of a computing cluster with Slurm
Statistics & data analysis
- Multivariate statistics
- Parametric and non-parametric statistics
- Generalized linear models
- Network analyses
- Spatial analyses with R
- Data visualization with R
- Point processes
- Bayesian statistics
- Occupancy modelling
Ecology
- Community ecology
- Interaction networks
- African ecology
- Interaction niches
- Camera traps

Languages

Fluent French (native language)
Advanced English (C1 level, TOEIC)
Upper-intermediate German (B2 level)

Publications

Trait matching without traits: using correspondence analysis to investigate the latent structure of interaction networks

Nicvert, L., Fritz, H., & Dray, S. (2025). Trait matching without traits: using correspondence analysis to investigate the latent structure of interaction networks. bioRxiv. https://doi.org/10.1101/2024.10.22.619454

Statistical methods and software tools to analyze and infer ecological networks and process multi-species data

Nicvert, L. (2024). Statistical methods and software tools to analyze and infer ecological networks and process multi-species data [PhD thesis, Université Claude Bernard - Lyon I]. https://theses.hal.science/tel-04751639

Using the multivariate Hawkes process to study interactions between multiple species from camera trap data

Nicvert, L., Donnet, S., Keith, M., Peel, M., Somers, M. J., Swanepoel, L. H., Venter, J., Fritz, H., & Dray, S. (2024). Using the multivariate Hawkes process to study interactions between multiple species from camera trap data. Ecology, 105(4), e4237. https://doi.org/10.1002/ecy.4237

Talks & posters

Camtrapviz, a Shiny interface to visualize camera trap data [in French]

June 21, 2023

Talk at Rencontres R, Avignon, France

A point process to infer spatio-temporal interactions from camera trap data

June 27, 2022

Poster at ISEC, Cape Town, South Africa

Scientific popularization

Organisation for the Pint of Science festival, 2025
- Montpellier
- Planning and animation for 3 scientific popularization events
Scientific game jam, 6-7 April 2024
- Lyon
- Creation of a video game about plant-frugivore interactions, Frugivora, with a team of developers and graphic designers over a weekend.
Volunteering with the Projet Pangolin association, 2020-2022
- Scientific illustrations (e.g. on this page)
- Blog posts on models in ecology and participatory science [in French]
- Animation of workshops with schoolchildren and high school students
BARCamp, 2022
- Presentation of my PhD subject (recording available here).
Conférences embarquées, 2020
- Talking about science on rowing boats