Tom Chou

This paper introduces an END-nSDE framework to reconstruct noisy gene regulation dynamics from heterogeneous cell populations, outperforming RNNs and LSTMs in modeling extrinsic noise effects.

This paper reformulates kinetic proofreading theory to evaluate its performance in different biological contexts, showing that first-passage time strategies can improve accuracy at the cost of speed.

The paper quantifies the publicness or privateness of T and B cell clones using information-theoretic metrics applied to synthetic and empirical TCR data.

The paper models clone fluctuations in rhesus macaque hematopoiesis, showing that stochastic HSC self-renewal and progenitor proliferation constraints explain large temporal variations in clone abundance.

The paper tracks clonal lineages in rhesus macaques to model blood cell population dynamics and identifies parameters governing clone size distribution.