Computational Biology and Bioinformatics

Use public Nanopore data to assemble resistance plasmids, call methylation, and map mobile-element hotspots with genomics analysis.

Analyze ABCD resting-state fMRI data, build graph metrics, and test how social media use relates to anxiety-linked network changes.

Analyze human allele patterns with population genomics and build a selection-density statistic to compare recent positive selection across loci.

Build a county-level Lyme risk model with iNaturalist and climate data, then test how well your predictions track later emergence.

Build a dengue forecast model with climate, mobility, and search data, then test how earlier mosquito-control timing changes predicted outbreaks.

Model fibroblast migration with PhysiCell, test scaffold stiffness and porosity, and learn how computational biomodeling guides wound-healing design.

Build a kinship search model with public genomic data, test how few SNPs reveal relatives, and analyze the privacy tradeoffs.

Build a periodicity-aware analysis to find circadian splicing events in GTEx data and rank genes with chronotherapy potential.

Build an explainable ML model for warfarin dosing, then test whether ancestry-related features change prediction error and equity.

Build drug docking and rescoring skills by testing repurposed FDA compounds against malaria targets and comparing results with known hits.