Predicting Promoter Strength in Crops
Use foundation models and public MPRA data to predict promoter strength in millet and teff, and build your own genomics analysis pipeline.
Use foundation models and public MPRA data to predict promoter strength in millet and teff, and build your own genomics analysis pipeline.
Build a text-mining project that spots medication clusters in FAERS narratives and tests how well an LLM flags elderly polypharmacy risk.
Model migraine wave spread on a brain mesh, test magnesium and CGRP effects, and build skills in simulation, parameter sweeps, and validation.
Build a stochastic model to compare CRISPR on-target and off-target binding, then test how guide design changes predicted specificity.
Model phage-host coevolution in Python or Avida, compare kill-the-winner and Red Queen dynamics, and build simulation and analysis skills.
Build a policy search model that balances cases, learning loss, and equity while you test school closure, masking, and testing strategies.
Build a nowcasting model that combines wastewater and school-absence data to predict pediatric ER surges, and practice real epidemiology analytics.
Build and test an LLM agent that writes RNA-seq pipelines, then compare its reproducibility and accuracy against gold-standard workflows.
Build a variant-effect prediction pipeline for autism regulatory DNA using epigenomic tracks, embeddings, and classifier evaluation.
Build a PBPK model to compare pediatric and adult metformin dosing, test allometric assumptions, and analyze exposure, safety, and adverse events.