Ted Bohn
Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTed Bohn is a data scientist with 13 years of experience applying machine learning, statistical modeling, and scalable engineering to hydrology, water resources, and infrastructure problems. He blends deep domain expertise—PhD in Civil Engineering/Hydrology—with hands-on production skills in Python, AWS, Docker/Kubernetes, and geospatial tooling to deliver ensemble forecasts, automated classification systems, and operational pipelines. His research led to field-adopted deliverables such as a low-bias precipitation disaggregation algorithm (PITRI) and multi-decadal land-cover inputs used by agencies like the Central Arizona Project and Los Alamos National Laboratory. At WattIQ he turned device-level power traces into unsupervised/partially supervised condition-detection systems, and his open-source contributions include debugging and extending the widely used VIC macroscale hydrologic model. Equally comfortable shipping production services and composing trombone parts for Brazilian ensembles, he brings a rare combination of environmental science rigor, software engineering, and creative curiosity.
12 years of coding experience
22 years of employment as a software developer
PhD, Civil Engineering/Hydrology and Water Resources, PhD, Civil Engineering/Hydrology and Water Resources at University of WashingtonMasters, Geophysics, Masters, Geophysics at University of California, Berkeley
Spanish
Github Skills (7)
c1710
debug10
c1110
hydrology10
scientific-computing10
clim9
fortran8
Programming languages (3)
Github contributions (5)
UW-Hydro/VIC
Jun 2013 - Apr 2018
The Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model
Role in this project:
Back-end Developer
Back-end DeveloperContributions:230 commits, 56 PRs, 581 comments in 4 years 11 months
Contributions summary:Ted contributed to the development of the Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model by fixing issues related to code initialization and input variable handling. The user addressed bugs that caused errors, such as incorrect array initialization and improper processing of cells with lakes. Further contributions involved the addition of input and output variables related to carbon cycle processes and unit corrections, which enhanced the model's capabilities. The user demonstrated proficiency in debugging, modifying, and expanding the model's core functionality.
vicclimatestreamflowhydrologycapacity
tbohn/VIC
May 2016 - Jun 2019
The Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model
Contributions:3 releases, 6 commits, 1 PR in 3 years 1 month
vicvariablecapacity
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