Author

Nora Heitzman-Breen

University of Colorado BoulderORCID 0000-0002-9018-7184Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2

Frequent Co-Authors

David M. BortziD· 1 shared Mohit Kumar JollyiD· 1 shared Necibe TunceriD· 1 shared Paras JainiD· 1 shared Rainey LyonsiD· 1 shared Stanca M. CiupeiD· 1 shared Yuganthi R. Liyanage· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperSystems Biology

David M. BortzORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintJul 3, 2026

Weak form Scientific Machine Learning for Systems Biology: A Tutorial on WENDy

Nora Heitzman-Breen, Rainey Lyons, Paras Jain…·David M. Bortz

This paper introduces WENDy, a method for parameter estimation in systems biology models using weak-form regression, demonstrating its application on real experimental data for glycolytic oscillators and cell-state transitions.

DOI 10.64898/2026.07.02.735880

statistical modelbenchmarking

𝕏 PostBluesky

ImmunologyMathematical Biosciences & EngineeringPeer-reviewedJan 1, 2024

Identifiability investigation of within-host models of acute virus infection

Yuganthi R. Liyanage, Nora Heitzman-Breen, Necibe Tuncer, Stanca M. Ciupe

This study investigates parameter identifiability in within-host influenza models using structural and practical analyses to guide model development and experimental design.

16 citationstop 3%

statistical modelbenchmarking

𝕏 PostBluesky