Microbiology

Test how acrylic micro-textures change B. subtilis biofilm coverage and connect surface design to wetting theory, imaging, and statistics.

Model gyrA mutations with protein stability and population genetics, then test how fluoroquinolone pressure changes resistance paths and fitness.

Train and test an AI model that predicts plasmid host genus from sequence alone, building skills in sequence classification and benchmarking.

Measure how surface material changes microbial survival, then fit CFU data with survival curves to compare colonization patterns.

Test how microbial inocula change compost methane output and build skills in gas sensing, controls, and mixed-effects analysis.

Test whether oyster mushroom mycelium changes microplastic chips, and build skills in microscopy, mass tracking, and IR spectra analysis.

Compare honey potency with dilution tests, then build a model that predicts antimicrobial strength from pH, sugar, and peroxide proxy data.