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Research interests:

The primary research in my group is on data-driven modeling and 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 .

Active Funding

• 9/2023-8/2028 PI: NIH MIRA 
• 2023 PI: AMD/Xilinx University Program Equipment Donation
• 9/2022-8/2027 ¶¶Òõ¶ÌÊÓƵ PI: DOE ASCR MMICC 
• 7/2021-6/2025 PI: NSF MODULUS 

Press:

2024

October 1 - - SIAM News

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 - ¶¶Òõ¶ÌÊÓƵ Boulder Today

October 19 - ¶¶Òõ¶ÌÊÓƵ Boulder 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 - ¶¶Òõ¶ÌÊÓƵ Mathematician on the front lines of Colorado’s coronavirus response - ¶¶Òõ¶ÌÊÓƵ Boulder Today

May 6 - Scientists shed light on essential carbon-fixing machinery in bacteria - ¶¶Òõ¶ÌÊÓƵ Boulder Today

March 23 - Even single-celled organisms need their space: Squished bacteria may shut down photosynthesis - ¶¶Òõ¶ÌÊÓƵ Boulder Today

April 10 -  - Colorado Springs Gazette

March 28 -  - Colorado Springs Gazette