Maxime Vaugeois

Professionals-in-Training, Post-Doctoral Associate

University of Minnesota

United States

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Maxime Vaugeois is a Post-Doctoral Associate at the University of Minnesota, USA. His research focuses on ecotoxicology, machine learning applications in predictive ecotoxicity, and population modeling for freshwater species. Recent publications include advancements in bio-QSAR methodologies and insights into population regulation related to ecological risk assessment.

Articles (10)

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2020

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2020

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2020

Collaborators (4)

Valery Forbes

UNITED STATES

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Paul A Venturelli

Ball State University

UNITED STATES

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Daniel Stanton

Assistant Professor

University of Minnesota

UNITED STATES

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Gonçalo Marques

PORTUGAL

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Maxime Vaugeois

Research Interests

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Articles (10)

Advancing ecotoxicological studies: Utilizing new approach methodologies to enable cross-species extrapolation and reduce avian testing

Bio-QSARs 2.0: Unlocking a new level of predictive power for machine learning-based ecotoxicity predictions by exploiting chemical and biological information

Density‐dependent population regulation in freshwater fishes and small mammals: A literature review and insights for Ecological Risk Assessment

Physiological variables in machine learning QSARs allow for both cross-chemical and cross-species predictions

Population modeling to inform management and recovery efforts for lake sturgeon, Acipenser fulvescens

Differential retention contributes to racial/ ethnic disparity in U.S. academia

A simulation-based evaluation of management actions to reduce the risk of contaminants of emerging concern (CECs) to walleye in the Great Lakes Basin

DEB-tox and Data Gaps: Consequences for individual-level outputs

Pop‐GUIDE: Population modeling Guidance, Use, Interpretation, and Development for Ecological Risk Assessment

A review of key features and their implementation in unstructured, structured, and agent‐based population models for ecological risk assessment

Collaborators (4)

Valery Forbes

Paul A Venturelli

Daniel Stanton

Gonçalo Marques

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