Author

John T. Nardini

The College of New JerseyORCID 0000-0002-5503-1934Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:spatial transcriptomics· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Alyssa R. Wenzel· 1 shared Jason M. HaughiD· 1 shared Kevin FloresiD· 1 shared Kyle NguyeniD· 1 shared Patrick HaugheyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCell Biology

Alyssa R. Wenzel

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Cell BiologyPLoS Computational BiologyPeer-reviewedSep 25, 2026

Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data

Alyssa R. Wenzel, Patrick Haughey, Kyle Nguyen…·Kevin Flores

The paper introduces TOPAZ, a framework that uses topological data analysis and Bayesian methods to infer agent-based models from spatiotemporal cellular data, showing it can accurately recover model parameters and distinguish between models.

DOI 10.1371/journal.pcbi.1014801

spatial transcriptomicsdeep learning