Mr. Jordan Bernard, Alaska Department of Fish and Game, United States
Mr. Jordan Bernard, an M.S. graduate in Statistics from the University of Alaska Fairbanks, specializes in Biological Applications of Statistics, complemented by a B.S. in Mathematics from Colorado State University. 👨🔬 With a rich background as a Biometrician II at the Alaska Department of Fish and Game, he adeptly utilizes Bayesian statistics, predictive analytics, and spatial ecology methods to analyze marine mammal populations. Previously, as a Senior Staff Scientist at Geosyntec Consultants, he provided GIS support for mapping contamination, showcasing his versatility. 💻 His skill set spans Bayesian and spatial statistics, R programming, GIS, and data visualization, making him a formidable force in statistical analysis and data management across various domains.
Professional Profile:
Scopus
📚 Education:
Mr. Bernard holds an M.S. in Statistics from the University of Alaska Fairbanks, specializing in Biological Applications of Statistics, and a B.S. in Mathematics from Colorado State University.
👨🔬 Work Experience:
Mr. Jordan Bernard is an accomplished Biometrician with extensive experience in statistical analysis and data management, particularly in marine mammal populations. He has served as a Biometrician II at the Alaska Department of Fish and Game, where he calculated statistics related to marine mammal abundance, movement, and genetics, employing Bayesian statistics, predictive analytics, and spatial ecology methods. Previously, he worked as a Senior Staff Scientist at Geosyntec Consultants, providing GIS support and mapping contamination in soil and sediment. Additionally, he has worked as a Data Analyst at the Alaska Primary Care Association, managing healthcare data and calculating population-level health statistics.
💻 Skills:
His skills include expertise in Bayesian statistics, spatial statistics, time series statistics, R programming, JAGS, GIS, SQL, data visualization, and report writing.
Publications Top Notes :
- A geostatistical model based on random walks to krige regions with irregular boundaries and holes
- Published in Ecological Modelling in 2024.
- Contributors: Barry, R.P., McIntyre, J., Bernard, J.
- An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model
- Published in Movement Ecology in 2021.
- Contributors: Bishop, M.A., Bernard, J.W.
- Cited by 5 articles.