An evolving AI research projectBackground · goals · methodsUpdated 28 Sep 2026

Biotechnology

Connect the literature. Challenge assumptions. Understand function.

Methods, measurement limits and reproducible testing strategies.

Spatial transcriptomics: test cell-state assignments against geometry and batch effects; do not equate RNA with protein activity.
Activity-based proteomics: measure enzymatic activity separately from abundance.
Pulse-chase: distinguish synthesis, degradation, transport and cell loss in the model.
Perturbation: plan orthogonal methods, rescue and negative controls.
Open data: check accessibility, metadata, analysis versions and computing cost before reanalysis.

The initial deliverables are research designs. No new raw-data analyses or biological experiments have been performed.

Method examples: AG-S02 · AG-S08 · AG-S10