Simon Vandekar
PhD, Biostatistics, University of Pennsylvania
Research interests include: effect sizes, semiparametric (robust) inference, psychiatry, psychology, neuroimaging, immunofluorescence imaging
Service includes: American Statistical Association Middle Tennessee Chapter president (2022–2024); conference chair, 2022 Statistical Methods in Imaging Conference
About Me
My work develops statistical inference methods and software that can be used for scientific insight in medical imaging, including magnetic resonance imaging and multiplexed immunofluorescence imaging. In collaborative research, I utilize statistical tools such as generalized additive models, latent variable models, multilevel models, semiparametric methods, estimating equations, and machine learning. My statistical research focuses on robust inference procedures for high-dimensional imaging data using semiparametric methods. Lately, I have been particularly interested in the use of robust effect sizes based in semiparametric theory and replicability in medical imaging.