Krishna Rijal

The paper derives an exact probability distribution for mRNA threshold crossing times and shows U-shaped relative fluctuations, extending the model to include DNA duplication effects.

This paper applies attention-based models to predict phenotype from genotype, showing improved performance in epistatic regimes and enabling transfer learning across environments.

This paper introduces a differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits, demonstrating its effectiveness with E. coli promoter models.