Author

Daniel Headrick

University of Pittsburgh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Andreas R. PfenningiD· 1 shared Andrew Z. WangiD· 1 shared Ashley R. BrowniD· 1 shared BaDoi N. PhaniD· 1 shared Bettega Costa LopesiD· 1 shared Chaitanya SrinivasaniD· 1 shared Cynthia Mary ArokiarajiD· 1 shared Daryl Pinion FieldsiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Andreas R. PfenningORCID

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1 paper

Recent·Most cited

Combining Machine Learning and Multiplexed, In Situ Profiling to Engineer Cell Type and Behavioral Specificity

Michael J. Leone, Robert van de Weerd, Ashley R. Brown, Myung‐chul Noh, BaDoi N. Phan, Andrew Z. Wang, Kelly A. Corrigan, Deepika Yeramosu, Heather H. Sestili, Cynthia Mary Arokiaraj, Bettega Costa Lopes, Vijay Kiran Cherupally, Daryl Pinion Fields, Sudhagar Babu, Chaitanya Srinivasan, , Andreas R. Pfenning

The paper develops a platform combining machine learning and multiplexed in situ screening to identify enhancers with cell-type and behavioral specificity for neural circuit engineering.

bioRxiv · Jun 20, 2025 · PreprintNeuroscience