Projects

Big-data analytics

• I have six years of experience analyzing large-scale and high-dimensional datasets from biological experiments with millions of observations (cells) and thousands of features (genes):

	Gene_1	Gene_2	⋯	Gene_m
Cell_1	⋯	⋯	⋯	⋯
Cell_2	⋯	⋯	⋯	⋯
⋯	⋯	⋯	⋯	⋯
Cell_n	⋯	⋯	⋯	⋯

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Deep learning for time series

• I developed and maintain the deep-learning method DELAY to reconstruct causal networks from temporal biological data

• DELAY encodes autoregressive relationships between features (genes) as stacks of 2D images

Reagor, Velez-Angel & Hudspeth, 2023, PNAS Nexus

• DELAY uses a CNN to classify features (genes) as interacting (A -> B) or non-interacting (A -x-> B)

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Large-scale network analysis

• I used graph-structure analysis to discover influential nodes (genes) in the reconstructed networks

Reagor, Bravo & Hudspeth, 2025, PeerJ