Scholar
David Bortz
Google Scholar ID: 7wkmJU8AAAAJ
Department of Applied Mathematics, University of Colorado
Citations & Impact
Citations
1,375
H-index
18
i10-index
32
Publications
20
Co-authors
16
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Research widely covered by major media and academic outlets including Wall Street Journal, CU Boulder Today, SIAM News, and Eos
- Featured on the front page of SIAM News (2024) for work on weak form methods
- 2023 Colorado Arts & Sciences Magazine coverage on learning models from 'noisy' data
- 2022 CU Boulder Today article on learning equations of cell migration
- Extensive media coverage (2020–2021) of COVID-19 modeling efforts in outlets like Politico, FOX31, and Wall Street Journal
- Group member Dan Messenger selected for the Heidelberg Laureate Forum (2023)
Research Experience
- Leads multiple research projects funded by NSF, NIH-NIGMS, AFOSR, DOE, and CDPHE
- Principal Investigator (PI) on the following grants:
- - NSF eMB (2025–2028)
- - NIH-NIGMS MIRA (2023–2028)
- - DOE ASCR MMICC (CU PI, 2022–2027)
- - NSF MODULUS (2021–2026)
- Advises multiple graduate students and collaborators, some co-advised with other faculty
Background
- Professor in Applied Mathematics at University of Colorado Boulder
- Professor in Computer Science
- Graduate Faculty in IQ Biology Program
- Affiliate of RASEI (Renewable and Sustainable Energy Institute)
- Member of the Colorado COVID-19 Modeling Team
- Primary research focus: data-driven modeling and weak form scientific machine learning
- Applications span bacterial community dynamics, cellular migration, infectious diseases, artificial pancreas design, and computational plasma physics for fusion
