Microbiology

Measure how food dyes and blue light reduce E. coli growth, then fit dose-response data and test a reciprocity model.

Build a fecal source-tracking model from public 16S data, compare SourceTracker2 with a neural baseline, and test bias with real metrics.

Build a labeled smartphone microscopy dataset and baseline CNN, then test how image quality, labels, and prep choices affect classification.

Build a structure-based virology project that predicts capsid stability with FoldX and tests whether it tracks environmental persistence in the literature.

Map indoor-air microbes with settle plates, compare rooms and HVAC settings, and practice classification, contamination control, and basic statistics.

Build bioinformatics skill by scanning genomes, classifying Cas architectures, and ranking compact CRISPR effectors with structure prediction.

Analyze E. coli pangenomes to test where resistance genes cluster, then use permutation tests and comparative genomics to measure hotspot patterns.

Test how flow shape changes Bacillus biofilms, build image-based measurements, and compare wrinkled versus smooth colony growth with modeling.

Design a bioplastic project with kefir whey, bacterial growth, and tensile testing while learning response-surface design and fluorescence staining.

Test how kombucha SCOBY growth conditions affect strength, moisture flow, and antimicrobial retention for wound dressing design.