David Bortz
- Professor in Applied Mathematics
- Professor in Computer Science
- IQ Biology Graduate Faculty
- RASEI Affiliate
- Colorado COVID-19 Modeling Team
Room number: ECOT 640
Research interests:
The primary research in my group is on data-driven modeling and weak form scientific machine learning. Frequently we apply these methods to biological systems including: bacterial community population dynamics and biomechanics, cellular migration, infectious diseases, and designs for an artificial pancreas. However, more recently, we have expanded the applications to include computational plasma physics in the context of fusion. These projects have been financially supported by , , , , and .
Group Members
- (joint with Vanja Dukic)
- (joint with )
Collaborators
Active Funding
- 9/2023-8/2028 PI: NIH MIRA
- 9/2022-8/2027 CU PI: DOE ASCR MMICC
- 7/2021-6/2026 PI: NSF MODULUS
Press:
2024
October 1 - - SIAM News (front page!)
2023
October 23 - Researchers strive to help models learn from ‘noisy’ data - Colorado Arts & Sciences Magazine
July 24 - Dan Messenger selected to attend Heidelberg Laureate Forum
2022
October 26 - New study shows how to learn the equations of cell migration - Ãå±±½ûµØ Today
October 19 - Ãå±±½ûµØ joins national effort to advance nuclear fusion research - Colorado Arts & Sciences Magazine
2021
September 21 - - Colorado Newsline
March 1 - - KDVR FOX31
December 15 - - UCHealth Today
2020
October 8 - - Wall Street Journal
September 1 - - 5280 Magazine
June 16 - - Politico
June 12 - CU Mathematician on the front lines of Colorado’s coronavirus response - Ãå±±½ûµØ Today
May 6 - Scientists shed light on essential carbon-fixing machinery in bacteria - Ãå±±½ûµØ Today
March 23 - Even single-celled organisms need their space: Squished bacteria may shut down photosynthesis - Ãå±±½ûµØ Today
April 10 - - Colorado Springs Gazette
March 28 - - Colorado Springs Gazette