Alida Gerritsen

Researcher III-Computational Science


Alida Gerritsen has been with NREL since August 2017, first as a bioinformatics postdoctoral researcher and then as a full-fledged researcher. She works on analyzing and visualizing high-throughput sequencing data from multiple projects involving microbial organisms, but her research interests also include new techniques in supervised machine learning. Her long-term goal is to integrate these bioinformatics techniques into computational biology and generate predictive algorithms that can be used to engineer microbes both experimentally and in silico.

Research Interests


Statistical design

Genomics and transcriptomics 

Genome scale modeling

Predictive machine learning


Ph.D., Evolutionary Biology, University of Oregon 

B.S., Biology, St. Lawrence University 

Featured Work

Methods for Algal Protein Isolation and Proteome Analysis, Metabolic Pathway Engineering (2020)

Wireworm (Coleoptera: Elateridae) Genomic Analysis Reveals Putative Cryptic Species, Population Structure, and Adaptation to Pest Control, Communications Biology (2020)

Development of a High-Productivity, Halophilic, Thermotolerant Microalga Picochlorum RenovoCommunications Biology (2019)