Irish Senthilkumar

ExPert infers causal perturbations from cell states by learning prototypes across 12 contexts, achieving high recall with low compute and validating findings in disease models.

This study develops a biophysical model integrating osmolarity and biomechanical feedback to explain stress-dependent growth in breast cancer spheroids, revealing a cellular volume checkpoint for mitosis.

CIPHER uses gene co-fluctuations in unperturbed cells to predict transcriptome-wide responses to perturbations, outperforming existing methods and revealing key regulatory structures.