Nathan Pollesch

Nathan Pollesch
United States Environmental Protection Agency | US EPA · National Health and Environmental Effects Research (NHEERL)

PhD Mathematics

About

10
Publications
3,544
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474
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Introduction
Hello fellow ResearchGate folks. I'm Nate, a Mathematician for the US Environmental Protection Agency. Broadly, I am interested in the use and development of mathematics for the protection of wildlife and use of natural resources. More specifically, my current areas of research are development of ecological models for assessing impacts of pesticide exposure on wildlife populations, the development of network analysis techniques for Adverse Outcome Pathway (AOP) Networks and Quantitative AOPs (qAOPs), and I also maintain an interest in the mathematics of multi-criteria assessment, including sustainability assessment, focusing on the structure of normalization and aggregation functions and their interactions.

Publications

Publications (10)
Article
Nutritional and contaminant stressors influence organismal physiology, trophic interactions, community structure, and ecosystem-level processes; however, the interactions between toxicity and elemental imbalance in food resources have been examined in only a few ecotoxicity studies. Integrating well-developed ecological theories that cross all leve...
Article
The assimilation of population models into Ecological Risk Assessment (ERA) has been hindered by their range of complexity, uncertainty, resource investment, and data availability. Likewise, ensuring that the models address risk assessment objectives has been challenging. Recent research efforts have begun to tackle these challenges by creating an...
Article
Adverse outcome pathway Bayesian networks (AOPBNs) are a promising avenue for developing predictive toxicology and risk assessment tools based on adverse outcome pathways (AOPs). Here, we describe a process for developing AOPBNs. AOPBNs use causal networks and Bayesian statistics to integrate evidence across key events. In this article, we use our...
Article
Full-text available
An important goal in toxicology is the development of new ways to increase the speed, accuracy and applicability of chemical hazard and risk assessment approaches. A promising route for this is the integration of in vitro assays with biological pathway information. Here we examine how the Adverse Outcome Pathway (AOP) framework can be used to devel...
Article
As the community of toxicological researchers, risk assessors, and risk managers adopt the adverse outcome pathway (AOP) framework for organizing toxicological knowledge, the number and diversity of AOPs in the online AOP knowledgebase (KB) continues to grow. To track and investigate this growth, AOPs in the AOP-KB were assembled into a single netw...
Article
Full-text available
Based on the results of a SETAC-sponsored Horizon Scanning exercise focused on advancing the adverse outcome pathway (AOP) framework, the development of guidance related to AOP network development was identified as a critical need. This not only included questions focusing directly on AOP networks, but also on related topics such as mixture toxicit...
Article
Full-text available
Toxicological responses to stressors are more complex than the simple one biological perturbation to one adverse outcome model portrayed by individual adverse outcome pathways (AOPs). Consequently, the AOP framework was designed to facilitate de facto development of AOP networks that can aid understanding and prediction of pleiotropic and interacti...
Article
Full-text available
The value of models that link organism-level impacts to the responses of a population in ecological risk assessments (ERA) has been demonstrated extensively over the past few decades. There is little debate about the utility of these models to translate multiple organism-level endpoints into a holistic interpretation of effect to the population; ho...
Article
In order to aid operations that promote sustainability goals, researchers and stakeholders use sustainability assessments. Although assessments take various forms, many utilize diverse sets of indicators numbering anywhere from two to over 2000. Indices, composite indicators, or aggregate values are used to simplify high dimensional and complex dat...

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