Projects / Research
I'm a computer science student focused on genomics and bioinformatics. Currently I'm studying microbial symbiont communities at the Microbial Symbiosis Lab at TXST.
My research interests sit at the intersection of genomics, bioinformatics, and computational modeling. I'm most interested in building pipelines that simulate biological systems.
Interested in modeling biological mechanisms in silico to understand complex systems. By constructing predictive models and synthetic datasets, this work enables the exploration of biological processes that are difficult to capture purely through wet-lab experimentation.
Focused on designing parallelized software workflows built for high-performance computing infrastructure. This involves implementing parallelism and system-level optimizations to process large-scale scientific datasets efficiently.
Software I've built across research, tooling, and web.
Python-based NeoVim plugin for accessing PMC. Users can query the database for papers, genes, proteins, etc and save them without leaving NeoVim
A bioinformatics tool for generating synthetic genome reads. The tool models the complex environment by simulating strain diversity, abundance profiling, and microevolutionary drift.
A machine learning model for predicting species from 16s rRNA sequences. The model achieve high accuracy in species prediction.
I'm a Computer Science undergraduate at Texast State University researching microbial symbiont communities, outside of that my research interestes include simulating biological systems and high-performance computing.