Brandon "Bubba" Brooks
About Brandon "Bubba" Brooks
Brandon 'Bubba' Brooks is a Computational Biologist at Singular Genomics, specializing in machine learning techniques for DNA quantification and microbial community data analysis. He has a diverse background in microbiology and has held various positions at notable institutions, including UC Berkeley and Kaleido Biosciences.
Work at Singular Genomics
Brandon Brooks has been employed at Singular Genomics as a Computational Biologist since 2020. In this role, he focuses on applying machine learning techniques to DNA quantification, specifically for analyzing microbial community data. His work contributes to advancing genomic technologies and understanding complex biological systems.
Previous Experience in Computational Biology
Before joining Singular Genomics, Brandon Brooks worked at several organizations in the field of computational biology. He was a Computational Biologist at Kaleido Biosciences, Inc. from 2017 to 2019, and at Prescient Metabiomics from 2019 to 2020. His experience includes significant projects related to microbial analysis and data interpretation.
Educational Background in Microbiology
Brandon Brooks earned his Doctor of Philosophy (PhD) in Microbiology from the University of California, Berkeley, where he studied from 2010 to 2016. He also holds a Bachelor of Science (BS) in Microbiology from Oklahoma State University, completed from 2005 to 2009. His educational background has provided him with a strong foundation in microbiological research and methodologies.
Research Contributions and Projects
Throughout his career, Brandon Brooks has been involved in various research projects. He worked at UC Berkeley on multiple studies, including metagenomic assembly of genomes from gut colonizing microbes and alternative corrinoid transport in enteric microorganisms. His research has focused on understanding microbial interactions and their implications in health and disease.
Expertise in Data Interpretation
Brandon Brooks possesses expertise in interpreting multivariate data from diverse sample types over time. His specialization includes the novel application of 'omics' technologies to explore the role of genomes in ecosystems. This skill set enhances his ability to analyze complex biological data and contribute to advancements in the field.