Research Focus

I apply computational analysis and modeling to answer fundamental and translational biomedical questions. My focus is understanding the molecular and cellular basis of normal and patho-physiology.

Current Projects

■ Computational modeling to address fundamental questions about agonist-induced calcium signaling and downstream targets

■ More recent scientific contributions are in the area of cardiac ventricular excitation-contraction coupling and mitochondrial energy metabolism and ionic homeostasis

■ Development of novel computational algorithms to address significant biological questions

■ Other research involves the development of new methods to understand genomic data and how they result in traits or disease

Select Publications

■ E. Munger et al., Application of machine learning to determine top predictors of non-calcified coronary burden in psoriasis: an observational cohort study. J Am Acad Dermatol, (in press).

■ H. Choi et al., Application of machine learning to determine top predictors of non-calcified coronary plaque burden in psoriasis. J Am Coll Cardiol 73(9 Supplement 1),1467 (2019).

■ M. D. McCoy et al., SNP2SIM: a modular workflow for standardizing molecular simulation and functional analysis of protein variants. BMC Bioinformatics 20, 171-178 (2019).

■ J. R. King et al., Ionotropic and metabotropic mechanisms of allosteric modulation of a7 nicotinic receptor intracellular calcium. Mol Pharmacol 93(6), 601-611 (2018).