Scott Worland
Chief Technology Officer at Norm Ai
Chattanooga, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolScott Worland is a CTO and AI leader with 12+ years building ML and probabilistic models across academia, government, and startups, currently focused on the intersection of AI and law. He moved from hands-on research at Cornell and the U.S. Department of the Interior into product-facing leadership roles—scaling data science teams and ML systems at FreightWaves and Thyme Care before becoming Norm AI’s CTO. Comfortable bridging research and production, he has experience in environmental and healthcare modeling as well as supply-chain and financial services applications. Based in Chattanooga, Scott pairs a PhD in Civil and Environmental Engineering with practical experience managing engineers and shaping AI products that must satisfy regulatory and performance constraints. Notably, he combines deep technical grounding in probabilistic methods with real-world delivery of value-based and contract-driven analytics.
11 years of coding experience
11 years of employment as a software developer
B.S. 4.0 GPA, B.S. 4.0 GPA at Georgia College & State UniversityDoctor of Philosophy - PhD, Civil and Environmental Engineering, Doctor of Philosophy - PhD, Civil and Environmental Engineering at Vanderbilt University
sql, python
Github Skills (89)
r-package9
caret8
transition8
r7
htmlwidgets7
shiny7
googleauthr7
dplyr7
meta-analysis7
water6
twitter6
animation6
d3js6
modeling6
keras6
Programming languages (4)
Github contributions (5)
scworland-usgs/epa-7q10-ml
Jun 2017 - Aug 2017
Contributions:40 commits, 38 pushes, 1 branch in 1 month
scworland/worland_test
Mar 2015 - Jan 2020
test repository
Contributions:2 PRs, 10 pushes, 3 branches in 4 years 10 months
testingtest-repository
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