Computational Biology and Bioinformatics

Build a spatial SEIR model that links AMR surveillance and water data to study how reuse networks may shape UTI spread and risk.

Build a hybrid ODE and neural-ODE model to predict fiber responses from public microbiome data, and practice real biomodeling skills.

Build bioinformatics skill by linking rice structural variants to drought tolerance with open genome and phenotype data.

Model how lipid membranes wrap PEGylated nanoparticles, then test which design best supports pH-responsive release and drug delivery.

Build a mosquito wingbeat classifier with smartphone audio, contrastive learning, and validation skills for real-world dengue risk mapping.

Build an RNN that predicts sleep-stage transitions and test how circadian inputs change REM and NREM cycling under shift-work patterns.

Use public transcriptomes, mutual information, and direct coupling to test how plant and pollinator gene families track floral scent evolution.

Model pollen-tube tip growth from microscopy data and estimate cell-wall mechanics with simulation fitting, optimization, and image analysis.

Use causal inference and open school data to test whether air-quality interventions change respiratory-illness absenteeism.

Model phantom-tone activity after hair-cell loss, then test how lateral inhibition changes spiking patterns with clear, quantitative analysis.