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.
Genomics and transcriptomics
Genome scale modeling
Predictive machine learning
Ph.D., Evolutionary Biology, University of Oregon
B.S., Biology, St. Lawrence University
Methods for Algal Protein Isolation and Proteome Analysis, Metabolic Pathway Engineering (2020)
Development of a High-Productivity, Halophilic, Thermotolerant Microalga Picochlorum Renovo, Communications Biology (2019)