Alex Bajcz
Quantitative Ecologist
Saint Paul, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolAlex Bajcz is a quantitative ecologist with a decade of experience applying computational and statistical tools—especially R and simulation modeling—to solve complex ecological and invasive species problems. Based at the University of Minnesota’s MAISRC, he designs analyses, builds workflows and packages, and curates datasets so teams can turn messy field data into actionable science. Trained with a PhD in Ecology and Evolutionary Biology and an MS in Conservation Ecology, he blends deep ecological theory and hands-on field experience with modern data science practices. He thrives on long, focused problem-solving sessions, values iterative feedback, and enjoys taking projects in novel directions when the science benefits. Known for translating technical methods into usable products for diverse stakeholders, he also teaches others and invents tools to expand research capacity. Outside work he’s equally likely to be designing a crossword as he is knee-deep in a wetland, a hint of the curiosity and playfulness that fuel his approach to research.
10 years of coding experience
MS, Terrestrial Ecosystems/Conservation Ecology, MS, Terrestrial Ecosystems/Conservation Ecology at University of MichiganDoctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology, Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology at University of Maine
English, German
Stackoverflow
433reputation
23kreached
4answers
20questions
Github Skills (54)
r-package10
reactive10
r10
shiny10
rstudio10
web-development10
proj9
geos9
knitr9
spatial9
rmarkdown8
stable8
overlay8
gdal8
integer-programming7
Programming languages (5)
Github contributions (5)
BajczA475/FTCQuant
May 2018 - Jul 2021
Contributions:33 commits, 5 pushes in 3 years 2 months
BajczA475/random-data
Jul 2021 - Jan 2023
Contributions:5 pushes, 1 branch in 1 year 5 months
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