Ryan Doughty

2nd Year Compter Science Ph.D. student, interested in string algorithms, metagenomics, and virome analysis.

Ryan (2nd year PhD student, Computer Science), obtained his BS in Computer Science from Case Western Reserve University. During his undergraduate studies, he worked with Dr. Treangen on large-scale wastewater analyses and targeted metagenomic sequencing methods. He also spent six months in Vigo, Spain, working in Dr. David Posada’s lab, focusing on gut-virome biomarkers in colorectal cancer. Additionally, he interned at Intellia Therapeutics for a summer, where he contributed to developing machine learning methods for CRISPR Cas-9 guide design. Ryan’s current research interests center around string algorithms for high-performance genomics and comprehending the global virosphere through viral genomic analyses. Ryan is supported by a training fellowship from the Gulf Coast Consortia, on the NLM Training Program in Biomedical Informatics & Data Science (T15LM007093)

A few of Ryan’s recent publications: (Doughty et al., 2025) (Gold et al., 2025) (Laird et al., 2025) (McCall et al., 2023).

References

2025

  1. bronko: ultrafast, alignment-free detection of viral genome variation
    Ryan D Doughty, Michael J Tisza, and Todd J Treangen
    bioRxiv, 2025
  2. Impact of ventilation on respiratory virus transmission in college residence hall cohorts: potential for causal inference about mode of transmission
    T Louis Gold, Kathleen M McPhaul, Huang Lin, and 7 more authors
    Influenza and Other Respiratory Viruses, 2025
  3. Inter-tool analysis of a NIST dataset for assessing baseline nucleic acid sequence screening
    Tyler S Laird, Kevin Flyangolts, Craig Bartling, and 8 more authors
    Applied Biosafety, 2025

2023

  1. Targeted metagenomic sequencing for detection of vertebrate viruses in wastewater for public health surveillance
    Camille McCall, Ryan A Leo Elworth, Kristine M Wylie, and 7 more authors
    ACS ES&T Water, 2023