News
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Finished a summer internship on the Computational Biology team at Cellanome
Three months building deep-learning trajectory modeling for longitudinal live-cell imaging and integrating it with paired transcriptomics — surfacing morphodynamic cell states earlier analyses had missed.
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Praxis-BGM published in Bioinformatics
First-author paper on semi-supervised transfer learning for Gaussian mixture models via natural-gradient variational inference — see publications.
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Fully connected HMRF paper out in Medical Image Analysis
Our FDR control method for neuroimaging data is online — see publications.
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Praxis-BGM presented at JSM 2025
Prior-augmented, regularized natural-gradient variational inference on Gaussian mixture models. Nashville, TN.
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Passed the Ph.D. qualifying exam
Advanced to candidacy in Biostatistics at USC.
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LUCIDus published in The R Journal
Our R package for latent unknown clustering by integrating multi-omics data with phenotypic traits — R Journal.
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LUCID with incomplete omics data out in Bioinformatics Advances
An extension of LUCID that handles missing omics layers directly in the model — Bioinformatics Advances.
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Prenatal mercury & childhood fatty liver disease in Environment International
A multi-omics + environmental-data framework for precision health, applied to prenatal mercury-induced childhood fatty liver disease — Environment International.
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DeepFDR presented at AISTATS 2024
A deep-learning approach to spatial false discovery rate control for neuroimaging data — PMLR.