On this webpage, I've included some descriptions of my research projects.

• Tests for Segregation Distortion: Tests for segregation distortion in tetraploid F1 populations


• Bayesian Tests for Random Mating: Bayesian approaches to test for random mating in autopolyploids.


• Equilibrium Tests in Polyploids: Novel methods to test for equilibrium in autopolyploids.


• Linkage Disequilibrium in Polyploids: I describe some of my work on estimating LD in polyploids.


• RNA-seq Data Simulations: Data-based simulations of RNA-seq.


• What's Updog?: Genotyping Polyploids from Messy Sequencing Data.


• Confounder Adjustment with MOUTHWASH: Empirical Bayes with the factor-augmented regression model for confounder adjustment.


• Removing Unwanted Variation: Some of my postdoctoral work on unifying and generalizing confounder adjustment methods.


• Higher-order Spectral Estimators: My work on adaptive higher-order spectral estimation. These estimators generalize a class of popular matrix estimators to tensors. These estimators shrink tensors toward low multilinear-rank estimates.


• The Incredible HOLQ: The incredible higher-order LQ decomposition for tensor data. This generalizes the matrix LQ decomposition to tensors and introduces the concept of a scaled all-orthonormal tensor.


• Equivariant Estimation: A description of my dissertational work on optimal equivariant covariance estimation for tensor datasets.


• Introduction to Tensors: This provides a brief introduction to tensor datasets.