Daniel Lewis
Research Engineering Scientist Associate I
Data Management & Collections
512-475-9411
dhl@tacc.utexas.edu
Daniel Hardesty Lewis joined TACC in 2018 after two summer internships as an undergraduate student at The University of Texas at Austin. He's an active member of the NSF-funded Intelligent Systems and Geosciences research coordination network. His research contributes to integrated modelling and water resource management within the state of Texas and abroad. Daniel also has experience applying Machine and Deep Learning approaches to problems for the energy industry.
Education:
B.S., Mathematics
University of Texas at Austin
Current Projects:
- Planet Texas 2050: Optimal Averaging of Water Resources
- Model Integration through Knowledge-Rich Data and Process Composition (MINT)
- Intelligent Systems and Geosciences (IS-GEO)
- Applied topics that connect HPC resources with integrated models
- Advanced ETL across domains and explore automating workflows