Harvard’s Systems Biology PhD unites physicists, engineers, and biologists to decode emergent behaviors in cells and ecosystems. Students build microfluidic chemostats, simulate gene networks with agent-based models, and harness single-cell sequencing to map developmental trajectories, launching breakthroughs in synthetic biology and precision medicine.
Live-cell imaging and modeling of oscillatory p53 dynamics
CRISPR bar-coding tracing lineage in organoid development
Agent-based simulation of gut microbiome spatial ecology
Design of synthetic toggle switches with reduced noise
Metabolic-flux analysis under nutrient cycling conditions
Machine-learning predictor of protein phase-separation propensity
Thesis on ecological stability in microbial consortia bioreactors
Ethics paper on biosafety in gene-drive population control
Open-source dashboard visualizing multi-omics trajectories
Podcast featuring systems-biology start-up founders
Model, predict, and engineer complex biological networks.
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