David Rasmussen

Associate Professor

North Carolina State University

United States

Research Interests

Explore related searches

Professors in United States Professors in Microbiology Microbiology professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

David Rasmussen is an Associate Professor at North Carolina State University, USA. His research encompasses experimental evolution, viral phylogenetics, and the dynamics of pathogen adaptation, particularly focused on the study of Phytophthora infestans and SARS-CoV-2. He has published extensively on topics such as the impact of purifying selection on viral phylogenies and the methodologies for phylogeographic inference.

Articles (9)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (7)

Oluwapelumi Adeyemi

The Pirbright Institute

UNITED KINGDOM

View details

Jiro Yasuda

Nagasaki University

JAPAN

View details

Tobias Schindler

Swiss Tropical and Public Health Institute

SWITZERLAND

View details

Haruka Abe

Assistant Professor

Nagasaki University

JAPAN

View details

Jones Gyamfi

Teesside University

UNITED KINGDOM

View details

John Gyapong

Visiting Professor

Georgetown University

UNITED STATES

View details

Cristina Lanzas

North Carolina State University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

David Rasmussen

Research Interests

Explore related searches

Contact this professor

About

Articles (9)

Experimental Evolution of Phytophthora infestans on Tomato Reveals Rapid Genotypic and Phenotypic Adaptation and Dynamic RXLR Genome Variation

Phylodynamics beyond neutrality: the impact of incomplete purifying selection on viral phylogenies and inference

Quantifying the strength of viral fitness trade-offs between hosts: a meta-analysis of pleiotropic fitness effects

Exploring the Accuracy and Limits of Algorithms for Localizing Recombination Breakpoints

Espalier: Efficient Tree Reconciliation and Ancestral Recombination Graphs Reconstruction Using Maximum Agreement Forests

Recombination-aware phylogeographic inference using the structured coalescent with ancestral recombination

Inferring environmental transmission using phylodynamics: a case-study using simulated evolution of an enteric pathogen

A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa

Decomposing the sources of SARS-CoV-2 fitness variation in the United States

Collaborators (7)

Oluwapelumi Adeyemi

Jiro Yasuda

Tobias Schindler

Haruka Abe

Jones Gyamfi

John Gyapong

Cristina Lanzas

Make your next move.