Author

Nidhi Pai

University of MinnesotaORCID 0000-0003-0187-4407Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Aidan Dunleavy· 1 shared Aidan NeheriD· 1 shared Aixin Li· 1 shared Anna KonstorumiD· 1 shared Annette Xenopoulos-OddssoniD· 1 shared Aparna SrinivasaniD· 1 shared Barry J. GrantiD· 1 shared Bhargob Kakoty· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

Aidan Dunleavy

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintOct 18, 2026

Fast Generalized Longitudinal Functional Principal Components Analysis with Applications to Population-Level Neuronal Dynamics

Kelly A. Duffy, Nidhi Pai, David D. Schneck…·Erjia Cui

This paper introduces a fast generalized LFPCA method for analyzing longitudinal functional data, showing it is faster and scalable while applied to neuronal firing rate data under DBS.

DOI 10.64898/2026.10.12.758639

statistical modeldimensionality reduction

𝕏 PostBluesky

ImmunologyPLoS Computational BiologyPeer-reviewedMar 31, 2025

Putting computational models of immunity to the test - an invited challenge to predict B. pertussis vaccination outcomes

Pramod S. Shinde, Lisa Willemsen, Michael Anderson…·Bjoern Peters

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

5 citations

benchmark studydrug response / drug discovery

𝕏 PostBluesky