Cellular and Molecular Biology

Build a machine learning pipeline to refine miRNA target prediction, compare models, and test tissue-specific accuracy with public CLIP-seq data.

Build a graph neural network to predict antibody affinity changes from CDR mutations and test how well it guides in silico maturation.

Build pedigree models, estimate linkage, and analyze genotype frequencies from survey data with real genetics tools and careful statistics.

Design and compare peptide vaccine candidates with epitope prediction, HLA binding analysis, and protein docking for a real pathogen.

Build 16S amplicon analysis skills by comparing urban soil and water microbes, then testing whether ML flags taxa linked to urbanization.

Measure how osmolarity and microplastics change contractile vacuole pumping in pond microbes, then analyze video with DeepLabCut.

Measure snail habituation and dishabituation with video tracking, compare nicotine and herbal tea treatments, and build clear behavioral datasets.

Design and test RNA riboswitches with ML embeddings, structure prediction, and SELEX data to learn sequence analysis and validation.

Predict 5’UTR RNA structure and compare it with ribosome profiling to study how uORFs shape translational repression across species.

Use public RNA-seq and network analysis to find shared cytokine storm genes, then test druggability with AlphaFold-based scoring.