My interests are in applied statistical modeling of scientific problems, with a special interest in biotech, medicine, health, environment, and complex data. My work as a statistician at Sciome LLC encompasses these fields perfectly.
My PhD dissertation focused on updating forensic genetic identification methods from 1980s capillary electrophoresis to higher-resolution massively parallel sequencing. The end deliverable was a Bayes factor to demonstrate the strength of evidence that a suspect in a courtroom was present at a crime scene. This has involved writing a dynamic programming algorithm for DNA sequence dimension reduction, creating a Bayesian model with parameters estimated by Markov Chain Monte Carlo computation, and using the UNC supercomputing cluster.
Refereed Publications
Taylor Petty, Juan D. Fernandez, Jason N. Fischell, and Luis A. De Jesús-Díaz. Lidar Attenuation Through a Physical Model of Grass-like Vegetation. Journal of Autonomous Vehicles and Systems 2022, volume 2, number 2. DOI: https://doi.org/10.1115/1.4055944
Taylor Petty, Jan Hannig, Tunde I Huszar, and Hari Iyer. A New String Edit Distance and Applications. Algorithms 2022, volume 15, number 7. DOI: https://doi.org/10.3390/a15070242
Todd Fisher, Taylor Petty, and Sergey Tikhomirov. Nonlocally maximal and premaximal hyperbolic sets (also available on arXiv). Contemporary Mathematics 2017, volume 692. DOI: https://doi.org/10.1090/conm/692