Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomes (McCarthy et al., 2020)
Cardelino is a computational method for inferring the clonal tree configuration and clone of origin of individual cells assayed using single-cell RNA-seq (scRNA-seq). I will present this work from a clinical and Bayesian perspective and discuss how the Cardelino methodology applies to my own dissertation research.

Ann Marie Weideman
4th Year PhD Student in BIOS
Advisors: Joe Ibrahim and Yuchao Jiang (Dissertation) & Michael Hudgens (GRA)

Causal Estimation of Seizure-Like Brain Activity
Seizures and seizure-like brain activity are common in critically ill patients. Multiple studies have shown an association between high burden of seizures and seizure-like brain activity (‘Ictal- Interictal patterns’, IIC patterns) and worsened clinical outcomes. However, without better control of confounding factors such as anti-seizure medication administration and individual pharmacodynamic characteristics, it is currently unknown if IIC patterns cause adverse outcomes or is merely a side effect of critical illness. Causal inference methods are a promising way to address this question from observational data. We use a matchingmethod,`MatchingAfterLearningtoStretch'(MALTS), to control for confounders including demographic variables, medical history, and pharmacodynamics parameters.

Kentaro Hoffman
5th Year PhD Student in STOR
Advisors:Kai Zhang and Cynthia Rudin

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