Steve Fick
Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolSteve Fick is a Data Scientist in Berkeley with a decade of experience building geospatial tools and datasets that enable evidence-based environmental decision making. His work bridges environmental modeling, spatial ecology, restoration ecology and machine learning, with applied projects ranging from updating global climatological datasets to evaluating conservation subsidy effectiveness using causal analysis on geospatial time series. He has translated research into operational tools at organizations including USGS, SEI (Trase), Pivot Bio and a Bay Area employer, and has led database and pipeline development for complex supply-chain and climate data. Steve’s background includes a PhD in Ecology and field-tested restoration methods in remote landscapes, giving him a rare blend of robust quantitative skills and on-the-ground ecological insight. He often pairs social-science collaborations with technical workflows—e.g., studies of recreation impacts at Bears Ears—to surface policy-relevant findings that aren’t obvious from satellite data alone.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Ecology, Doctor of Philosophy - PhD, Ecology at University of California, DavisBachelor of Science - BS, Biology, Summa Cum Laude, Bachelor of Science - BS, Biology, Summa Cum Laude at Wheaton College
Github Skills (13)
convolutional-neural-networks4
cnn-keras4
classification4
transfer-learning3
multiclass-classification3
image-classification2
science2
machine-learning2
deep-learning2
pytorch2
smithy1
python1
conda1
Programming languages (3)
Github contributions (5)
fickse/chordify
Apr 2017 - Dec 2021
Contributions:4 pushes, 1 branch in 4 years 8 months
fickse/graph_demo
Apr 2017 - Dec 2021
Contributions:15 pushes, 1 branch in 4 years 9 months
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