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Charles Labuzzetta, PhD

I use my training in applied statistics to develop mathematical models of ecological systems. Currently, I am working on invasive carp and bat population models. My skillset includes expertise in computing and machine learning, with particular interest in Bayesian approaches, neural networks, and computer vision.

Professional Experience

  • Mathematical Statistician, 2023 – present, Upper Midwest Environmental Sciences Center, USGS, La Crosse, Wisconsin

  • Postdoctoral Contractor, 2022 – 2023, Upper Midwest Environmental Sciences Center, USGS, La Crosse, Wisconsin

Education and Certifications

  • Iowa State University, PhD in Statistics and Environmental Science, 2022

  • Iowa State University, Certificate in Data-Driven Food, Energy and Water Decision Making, 2021

  • Iowa State University, MS in Statistics, 2019

  • Iowa State University, BS in Mathematics, 2017

Science and Products

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A commercially caught wild black carp from the Mississippi River

Modeling to inform bighead and silver carp management

Bighead carp ( Hypophthalmichthys nobilis ) and silver carp ( Hypophthalmichthys molitrix ) are invasive carp species within the Mississippi River basin. In the early-1970s these species escaped from ponds where people introduced them to control algae (ICRCC). Invasive carp cause ecological and economic damage by outcompeting native species and disrupting native food webs. Stopping the spread of...
By
Upper Midwest Environmental Sciences Center
link

Modeling to inform bighead and silver carp management

Bighead carp ( Hypophthalmichthys nobilis ) and silver carp ( Hypophthalmichthys molitrix ) are invasive carp species within the Mississippi River basin. In the early-1970s these species escaped from ponds where people introduced them to control algae (ICRCC). Invasive carp cause ecological and economic damage by outcompeting native species and disrupting native food webs. Stopping the spread of...
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Comparing maximum likelihood and Bayesian methods for fitting hidden Markov models to multi-state capture-recapture data of invasive carp in the Illinois River

BackgroundHidden Markov Models (HMMs) are often used to model multi-state capture-recapture data in ecology. However, a variety of HMM modeling approaches and software exist, including both maximum likelihood and Bayesian methods. The diversity of these methods obscures the underlying HMM and can exaggerate minor differences in parameterization.MethodsIn this paper, we describe a general framework
Authors
Charles J. Labuzzetta, Alison A. Coulter, Richard A. Erickson
By
Ecosystems Mission Area, Upper Midwest Environmental Sciences Center

Science and Products