University of California-Los Angeles · GeneticsSuchard Lab
Marc A. Suchard · Los Angeles, California
Research Focus
Dr. Marc A. Suchard's lab at UCLA focuses on the development of advanced statistical models and software to study the behavior and spread of rapidly evolving pathogens like viruses. Their research combines data science, evolutionary biology, and infectious disease principles to analyze large datasets from outbreaks, helping to improve public health responses. The lab aims to create scalable tools that can handle extensive epidemiological data, thereby informing better intervention strategies for viral diseases.
phylodynamicsBayesian statisticsviral epidemiologydata integrationpathogen transmissionpublic health policycomputational biologyinfectious diseasesphylogenetic modeling
Research Aims
5AIM 01Develop innovative Bayesian statistical methods for analyzing pathogen sequences and phenotypes.
AIM 02Create scalable phylodynamic models to understand viral transmission dynamics.
AIM 03Design user-friendly software tools to enhance the analysis of large scale genomic data.
AIM 04Investigate ecological factors influencing the spread of infectious diseases.
AIM 05Collaborate with public health entities to apply research findings in real-world contexts.
Skills the Lab Values
statistical modelingBayesian methodsdata analysisgenome sequencingsoftware developmentcomputational simulationsdata visualizationepidemiological modelinghigh-throughput experimentation
Output against the department
Publications688top 7% of dept.19th of 259
this lab
most publishedleast published
Citations109ktop 4% of dept.11th of 259
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.