John J. Vastola

The paper develops a mathematical model of molecular error correction to improve memory storage in cells, finding that moderate error correction optimally balances memory lifetime and fidelity.

The paper investigates causal inference during closed-loop navigation by examining how humans disambiguate self- and object-motion, showing misattribution patterns and their dependence on motion conditions and target location.

The paper introduces Monod, a Python package that integrates single-cell RNA sequencing data using biophysical models of transcription to distinguish biological and technical variation and reveal regulatory processes.