Cellular and Molecular Biology

Test whether regenerated planarian heads keep learned responses, then quantify behavior with video tracking and Bayesian state-space modeling.

Measure how GC content and codon usage change cell-free GFP or luciferase output, and build skills in gene expression analysis and controls.

Build a buffering network from yeast fitness screens, then test whether it predicts synthetic-lethal gene pairs and human cell CRISPR results.

Build an in silico fitness landscape model to compare greedy and evolutionary search strategies for nanobody breadth and affinity.

Measure stomatal opening with smartphone microscopy, then test how CO2, light, and plant hormones shift aperture and gas exchange.

Build an agent-based model of germinal-center B cells and test how chronic antigen exposure shifts breadth, potency, and selection pressure.

Measure how preservatives change worm attraction, then connect behavior to CeNGEN gene expression data for a strong neurobiology project.

Build a model that links brain RNA-seq, exon usage, and chromatin states to test autism-related patterns in public cortex data.

Measure how single-celled algae change swimming behavior under different LED colors, then fit the data to a cell signaling model.

Analyze GTEx gene expression to measure transcriptional drift with mutual information and build a tissue-specific aging clock.