Dusty Gannon

Ecologist and Statistician

Education

Sep 2016 - Mar 2022 : PhD in Ecology, Oregon State University

Sep 2020 - Mar 2022 : MS in Statistics, Oregon State University

Sep 2011 - May 2015 : BS in Ecosystem Science and Sustainability, Colorado State University

Research Interests

Statistical ecology, Bayesian statistics, theoretical ecology, time series analysis, ecology and evolution of plant–pollinator communities

Appointments

Apr 2023 - Present : Consulting Statistician, College of Forestry, Oregon State University

Apr 2022 - Apr 2023 : Postdoctoral Research Associate
NSF EPSCoR RII-Track 2: Highly predictive, explanatory models to harness the life science data revolution, Modelscapes Consortium, University of Wyoming
Advisor(s): Dr. Lauren Shoemaker

Jan 2022 - Mar 2022 : Graduate Teaching Assistant
Botany and Plant Pathology, OSU

Sep 2021 - Mar 2022 : Graduate Teaching Assistant
Dept. of Statistics, OSU

Jun 2021 - Sep 2021 : Graduate Reasearch Assistant
Botany and Plant Pathology, OSU
Advisor(s): Dr. F. Andrew Jones, Botany and Plant Pathology, OSU

Sep 2020 - Jun 2021 : Graduate Teaching Assistant

  • Botany and Plant Pathology, OSU
  • Dept. of Statistics, OSU

Sep 2016 - Sep 2020 : NSF Graduate Research Fellow
Advisor(s): Drs. F. Andrew Jones and Matthew G. Betts, OSU

Teaching

  • FES 524: Natural Resources Data Analysis

Past teaching assisstantships

  • BOT 575: Comparative Genomics - Instructor: Aaron Liston, BPP, OSU

  • ST 591: Introduction to Quantitative Genomics - Instructor: Thomas Sharpton, MCB, OSU

  • ST 201: Principles of Statistics - Instructor(s): Kelsi Espinoza, Lisa Madsen, Erin Howard, ST, OSU

  • BOT 341: Plant Ecology - Instructor(s): Andy Jones, BPP, OSU

Select publications

  • Gannon, D. G., Hadley, A. S., Frey, S. J. K. Pairing automated mark-recapture and social network models to explore the effects of landscape configuration on hummingbird foraging patterns. Biology Letters 17 (2021).

Languages

Spoken languages

  • English (native language)
  • Spanish (conversational)

Programming languages

  • R (fluent)
  • STAN (fluent)
  • Unix/Linux (competent)
  • LaTeX (competent)