Tom W. Hiscock

The paper quantifies Shh response dynamics in zebrafish neural progenitors and finds significant heterogeneity between Shh response and fate choice.

This paper investigates complex reaction-diffusion models to understand patterning constraints and introduces a software pipeline for simulating these systems.

The paper investigates how a dynamic Hedgehog gradient organizes tracheal cartilage rings into parallel stripes through a Turing-like mechanism.

The paper investigates how BMP signaling dynamics self-organize to generate repeating digit patterns in tetrapods, using single-cell RNA-seq and mathematical modeling.

The paper identifies extrinsic cues from chondrogenic progression that inhibit AER cell formation and limit limb regeneration in Xenopus tadpoles.

This paper adapts machine learning optimization algorithms to design gene circuits capable of performing arbitrary functions, demonstrating applications in replicating in vivo phenomena and synthetic biology tasks.

The paper develops a method to image subcellular dynamics in vivo using lattice light sheet microscopy and adaptive optics, revealing phenotypic diversity across organisms and developmental stages.

The paper shows that dense tissue packing and cell geometry regulate differentiation rate in zebrafish neural tube progenitors through Notch-dependent mechanisms.

The paper shows that a dynamically scaling gradient in the presomitic mesoderm regulates somite size control in zebrafish embryos.