Planning and scheduling biological experiments across multiple liquid handling robots.
bioRxiv. 2025; 10.64898/2025.12.26.696584.
AI and engineering careers: recent graduates' outlook on opportunities and challenges.
International Journal of STEM Education. 2025; 10.1186/s40594-025-005830-x.
Affordances and limitations of using large language models to generate qualitative data about mental health perceptions in engineering.
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Genotype to Phenotype: Design of an extensible experimental platform for characterizing microbes.
Zenodo. 2025; 10.1038/s41564-023-01376-0.
Monotherapy cancer drug-blind response prediction is limited to intraclass generalization.
bioRxiv. 2025; 10.1101/2025.06.16.659838v1.
Ten species comprise half of the bacteriology literature, leaving most species unstudied.
bioRxiv. 2025; 10.1101/2025.01.04.631297v1.
The MutRS quorum sensing system controls lantibiotic mutacin production in the human pathogen Streptococcus mutans.
PNAS. 2025, 122 (7) e2421164122.
The pneumococcal bacteriocin streptococcin B is produced as part of the early competence cascade and promotes intraspecies competition.
mBio. 2025, 16:e02993-24.
Modeling career paths in biomedical quality engineering.
Biomedical Engineering Education. 2024; 4(2), 339-359.
Using collaborative autoethnography to investigate mentoring relationships for novice engineering education researchers.
International Journal of STEM Education. 2024; 11(1), 13.
BacterAI maps microbial metabolism without prior knowledge.
Nature Microbiology. 2023; 8:1018-1025.
Crosstalk between paralogous ComRS quorum-sensing systems diversifies the competence/bacteriocin networks of oral streptococci.
bioRxiv. 2022; doi:10.1101/2022.10.14.512260.
Improving an rRNA depletion protocol with statistical design of experiments.
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Perceptions of shared experiences in mentoring relationships: a collaborative autoethnography.
2022 ASEE Annual Conference & Exposition.
A reinforcement learning framework for pooled oligonucleotide design.
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Laboratory exercise to measure plasmid copy number by qPCR.
Journal of Microbiology & Biology Education. 2021; 22:e00125-21.
A novel competence pathway in the oral pathogen Streptococcus sobrinus.
Journal of Dental Research. 2021 May; 100(5):542-548.
Gapsplit: Efficient random sampling for non-convex constraint-based models.
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Efficient enzyme coupling algorithms identify functional pathways in genome-scale metabolic models.
bioRxiv. 2019, doi:10.1101/608430.
droplet-Tn-Seq combines microfluidics with Tn-Seq for identifying complex single-cell phenotypes.
Nature Communications. 2019, 10:5729.
Laboratory exercise to measure restriction enzyme kinetics.
Journal of Microbiology & Biology Education. 2019, 20:3.
Metabolic modeling of Streptococcus mutans reveals complex nutrient requirements of an oral pathogen.
mSystems. 2019; 4:e00529-19.
The bare necessities: Uncovering essential and condition-critical genes with transposon sequencing.
Molecular Oral Microbiology. 2019; 1-12. Review.
Complete genome sequences of Streptococcus sobrinus SL1 (ATCC 33478 = DSM 20742), NIDR 6715-7 (ATCC 27351), NIDR 6715-15 (ATCC 27352), and NCTC 10919 (ATCC 33402).
Microbiology Resource Announcements. 2018, doi:10.1128/MRA.00804-18.
Coupling fluxes, enzymes, and regulation in genome-scale metabolic models.
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Designing randomized DNA sequences free of restriction enzyme recognition sites.
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Antibiotics disrupt coordination between transcriptional and phenotypic stress responses in pathogenic bacteria.
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Hands-on Assembly of DNA Sequencing Reads as a Gateway to Bioinformatics.
Journal of Microbiology & Biology Education. 2017, 18:2.
Miniaturized plate readers for low-cost, high-throughput phenotypic screening.
Journal of Laboratory Automation. 2015, Feb;20(1):51-5.
MetDraw: Automated visualization of genome-scale metabolic models and high-throughput data.
Bioinformatics. 2014, 30(9): 1327-1328.
Metabolic network analysis predicts efficacy of FDA-approved drugs targeting the causative agent of a neglected tropical disease.
BMC Systems Biology. 2012, 6:27.
TIGER: Toolbox for integrating genome-scale metabolic models, expression data, and transcriptional regulatory networks.
BMC Systems Biology. 2011, 5:147.
Functional integration of a metabolic network model and expression data without arbitrary thresholding.
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