Théophile Sanchez

Environmental Science · Physical Sciences

5h-index137citations23works0.62yr avg
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Research Topics

Environmental DNA in Biodiversity Studies(7), Microbial Community Ecology and Physiology(5), Genomics and Phylogenetic Studies(4), Gene expression and cancer classification(3), Species Distribution and Climate Change(3)

Publications23 total

End-to-End Representation Learning of Ecological Disturbance Gradients from Raw eDNA Sequences
SSRN Electronic Journal·2026Open Access
Zero-shot deep learning for the annotation of unknown eDNA sequences using co-occurrences and phylogenetic embeddings
Repository for Publications and Research Data (ETH Zurich)·2025Open Access
End-to-End Artificial Learning of Protection Gradient from Raw eDNA Sequences
2025Open Access
Multi-scale species richness estimation with deep learning
arXiv (Cornell University)·2025Open Access
Robot‐Aided Measurement of Insect Diversity on Vegetation Using Environmental <scp>DNA</scp>
Ecology and Evolution·2025· 5 citedOpen Access
<scp>ORDNA</scp> : Deep‐learning‐based ordination for raw environmental <scp>DNA</scp> samples
Methods in Ecology and Evolution·2025Open Access
Author response for "&lt;scp&gt;ORDNA&lt;/scp&gt;: Deep‐learning‐based ordination for raw environmental &lt;scp&gt;DNA&lt;/scp&gt; samples"
2025
A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish <scp>eDNA</scp> surveys
Methods in Ecology and Evolution·2024· 2 citedOpen Access
Author response for "A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish &lt;scp&gt;eDNA&lt;/scp&gt; surveys"
2024
A deep learning macroecological model to assess the combined effect of habitat loss and climate change on biodiversity
2024Open Access
Wildness estimation of large rivers
2024Open Access
New deep learning‐based methods for visualizing ecosystem properties using environmental <scp>DNA</scp> metabarcoding data
Molecular Ecology Resources·2023· 9 citedOpen Access
New deep learning-based methods for visualizing ecosystem properties using environmental DNA metabarcoding data
2023Open Access
<tt>dnadna</tt>: a deep learning framework for population genetics inference
Bioinformatics·2022· 9 citedOpen Access
dnadna: A DEEP LEARNING FRAMEWORK FOR POPULATION GENETIC INFERENCE
INRIA a CCSD electronic archive server·2022Open Access
Reconstruire notre passé ˸ apprentissage statistique profond pour la génétique des populations
theses.fr (ABES)·2022Open Access
dnadna: DEEP NEURAL ARCHITECTURES FOR DNA - A DEEP LEARNING FRAMEWORK FOR POPULATION GENETIC INFERENCE
HAL (Le Centre pour la Communication Scientifique Directe)·2021· 1 citedOpen Access
Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation
Molecular Ecology Resources·2020· 90 citedOpen Access
Deep learning for population size history inference: design, comparison and combination with approximate Bayesian computation
2020· 21 citedOpen Access
Let’s Listen to the Data: Sonification for Learning Analytics
Communications in computer and information science·2019
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Frequent Co-authors

Loïc Pellissier(9), Letizia Lamperti(8), Camille Albouy(8), Guillaume Charpiat(7), Stéphanie Manel(7), Jean Cury(5), Flora Jay(5), Morgane Bruno(5), Olivier François(4), Steven Stalder(4), Erik M. Bray(3), Pierre Jobic(3), Jérémy Guez(3), Anne-Catherine Letournel(3), David Mouillot(3), Shuo Zong(3), Michele Volpi(3), Sara Si‐Moussi(2), Benjamin Flück(2), Alice Valentini(2)