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Daniel Hardesty Lewis

Daniel Hardesty Lewis

Geospatial data scientist focused on hydrology and terrain analysis

dhl
Austin, Texas
Joined January 2026
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Network

11.9K connections
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TACC HPC Research
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UT Austin Research
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Data Science AI/ML
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Columbia Academics
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Software Hardware Engineering
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Environmental Water Science
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Cooperative Community Dev

Summary

Technical expertise in geospatial hydrology and terrain analysis — development of software and datasets for flood and terrain analysis (e.g., HAND workflows and terrain aggregation). github+2
Active open-source contributor and publisher — maintains multiple GitHub repositories and Docker images, and archives software releases and datasets for reuse. github+2
Interdisciplinary researcher and collaborator — co-authors work on AI for complex systems and participates in projects that bridge computing, hydrology, and environmental modeling. google+1
Community and organizational involvement — has held multiple roles at ICC Austin (technology officer, system architect, conflict mediator) and contributed to university-affiliated initiatives. iccaustin+1

Work

Education

Projects

Writing

Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making

January 1, 2021

Research on AI approaches to manage complexity in expert models to enhance decision making for complex systems.

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An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models

January 1, 2019

Work describing an intelligent interface for integrating diverse models (climate, hydrology, agriculture, socioeconomic) to support analysis and workflows.

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