I love deep diving into interesting datasets. My focus has been applying data science techniques in the fight against cancer. When I'm not working, I enjoy beach vacations and spending time with my son.
My area of focus is applying data science to biological datasets to help find better diagnostics and treatments for cancer. Specifically, I work with genomics data to identify differential telomere lengths in cancer patients which will lead to better treatment options. My work in biology has the potential to identify the next level of cancer markers. I have experience working with single-cell RNA sequencing data and developing a biology data science tool (TECAT) to help other researchers determine telomere lengths in their samples based on long-read sequencing technologies.
For the past two years, I have been working as a postdoctoral fellow at the Georgia Cancer Center where I have analyzed high-dimensional datasets (single-cell RNA sequencing) using machine learning methods and topological data analysis, and I have been developing a biology data science tool (TECAT) to help other researchers study telomere lengths in humans. This builds off of my graduate work at Cornell University where I explored the effects of radiation on telomere lengths which recapitulated results from my mentor, Dr. Chris Mason's NASA Twin Study. My approach to research is informed by my experience in the 82nd Airborne Division, where I served two tours of duty and managed a 240B gun team. I take pride in producing work that is easily communicated and executable, whether by experts or high-school students, making my datasets public and annotating my code so that my work is accessible to everyone as science moves into the realm of big data analysis. I write code for humans not machines.
Jul 2022 - Present
Jul 2004 - Jul 2008
2021
Weill Cornell
2013
Augusta State University
