Bioinformatics · Viral evolution · AI for Biology
Researcher exploring how viruses adapt and spread using genomics, epidemiology, and computational modeling.
I am a PhD candidate and researcher at Washington State University studying viral evolution, phylogenetics, and AI for Biology.
My work blends genomic epidemiology, mathematical/statistical modeling, and data visualization to translate biological complexity into practical insights. I collaborate with multidisciplinary groups to map viral diversity, understand ecological dynamics, and support evidence-driven decision making.
Selected publications connecting pathogen genomics, transmission dynamics, and public health actions.
Country-wide genomic surveillance of 14,000+ genomes to trace introductions, growth dynamics, and the rise of the Mu variant.
First symptomatic spillover event documented in Latin America, combining genomic, structural, and epidemiological evidence.
Evaluating cross-reactivity across arboviral cohorts to support accurate serosurveys in endemic regions.
Narratives that translate research into accessible stories, visuals, and practical takeaways.
In progress — I am crafting visuals and commentary to walk through the phylodynamic workflow.
Visit placeholder pageIn progress — Notes on cross-species transmission, sample workflows, and risk communication.
Visit placeholder pageIn progress — Guidance for labs integrating arboviral diagnostics with COVID-19 surveillance.
Visit placeholder pageStep-by-step walkthroughs for data pipelines, modeling, and visualization workflows.
Build Docker images for Python and R stacks, publish to Docker Hub, and run them on SLURM clusters with SingularityCE. Includes SLURM job templates, thread hygiene tips, and reproducibility checklists.
Data curation and genomic QC guides are in development. Share the pipelines you would like to see covered.
Let’s collaborate on genomic surveillance, pathogen evolution, or data-driven public health projects.
Email me directly at rrh9619@gmail.com or connect through any of my social platforms.
I am always interested in opportunities that blend computational biology, epidemiology, and clear communication.