SIParCS PROJECTS
The Summer Internships in Parallel Computational Science (SIParCS) offers students an opportunity to work in CISL to gain significant hands-on experience in high-performance computing and related fields that use HPC for scientific discovery and modeling.
Learn more about the SIParCS internship.
Here is a summary of past MILES-sponsored SIParCS projects:
- Dhamma Kimpara @dkimpara University of Colorado Boulder "Using Machine Learning Uncertainty Estimates to Aid Scientific Analysis" David John Gagne, John Schreck, Charlie Becker, Gabrielle Gantos, (2023).
- Belen Saavedra @bsaavedrabo Berea College "Using Machine Learning Uncertainty Estimates to Aid Scientific Analysis" David John Gagne, John Schreck, Charlie Becker, Gabrielle Gantos, (2023).
- Hayden Outlaw @outlawhayden Tulane University of Louisiana "“Investigating Holographic Images of Clouds with Machine Learning”" Matthew Hayman, John Schreck, Gabrielle Gantos, (2023).
- Eliot Kim @ejkim124 University of Wisconsin-Madison "“XAI and Active Learning for Predicting Winter Weather Precipitation Type”" David John Gagne, John Schreck, (2022).
- Justin Willson @jwill-19 Stony Brook University "“Neural Network for Winter Weather Precipitation Type Prediction”" David John Gagne, John Schreck, (2022).
- Prahalath Anbu Bharathi @????? Tufts University "“Explainable AI for Short-term Lightning Prediction”" David John Gagne, John Schreck, (2021).
- Omar Chaarawi @omarchaarawi University of Colorado Boulder "“Machine Learning Data Commons Web Portal”" David John Gagne, John Schreck, (2021).
- Keely Lawrence @keelylawrence University of Colorado Boulder "“??????”" David John Gagne, John Schreck, (2020-2022).
- Gunther Wallach @guwa4340 University of Colorado Boulder "“??????”" David John Gagne, John Schreck, (2020-2021).