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.
In progress — Upcoming tutorials will cover genomic data QC, outbreak analytics, and automated reporting.
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.