I'm a mathematical biologist who is interested in developing mathematically sound approaches to the analysis of high-throughput DNA sequencing data.
I am a mathematical biologist interested in developing mathematically sound approaches to the analysis of high-throughput DNA sequencing data. To do this, I utilize and develop techniques from the fields of probability, compressed sensing, and optimization. I am particularly interested in developing methods to analyze genomic and metagenomic data.
Use the quick links to the right to access information such as my CV, or the links at the top of the page to access a list of publications, my Github repository, etc.
I'm a mathematical biologist who is interested in developing mathematically sound approaches to the analysis of high-throughput DNA sequencing data.
This image is formed by using the most frequent words used when considering all of my publications.
This is my PhD thesis from Penn State (advised by Manfred Denker).
I define a new notion of "randomness" (called topological pressure) suitable for use on sequences of symbols (words) of finite length. I show that this can be used to distinguish between biologically interesting sequences in the human genome.