I have a broad background in biology and computer science. One of the most straightforward intersections between those two areas is bioinformatics, the specialized set of programming techniques used to transform nucleotide reads to a useable piece of data. I most often work with Oxford Nanopore whole genome sequencing and adaptive sequencing datasets, though I occasionally am lucky enough to work with exciting metagenomic environmental data. My two areas of expertise are in post-sequencing processing of long read sequencing data and dimensionality reduction for any large dataset.

I have experience writing programs and scripts in several computer programming languages including the bash shell, rust, R, python, and Java. This flexibility has made it easier to adapt existing software to meet the needs of particular projects, and to develop new programs to fit more specialized biological ideas. One example is the generalized hidden markov model I helped develop to model the unique uridylation/adenylation of mRNA transcript tails by trypanosomes; another more recent project is my software suite, Methylation Operation Wizard (MeOW). These projects required mathematical expertise to generalize probabilistic models, skill in programming, and an understanding of relevant molecular biology concepts and lab methods that needed to be integrated.

My statistical specialization is multivariate analysis of large compositional datasets. I also have an enduring interest in expanding what can be inferred through network analysis by using classic computer science concepts like maximum flow. Additionally, I've previously used my skills with ArcGIS, python, and java to automate workflows and generally perform advanced spatial analysis with wildlife and environmental data.