David Zwicker

The paper presents a 3D multi-omic framework to detect and characterize ovarian cancer precursors in fallopian tubes, identifying TP53 mutations in microscopic lesions.

This study uses computational modeling to show that protein concentration and binding strength variations control cluster formation in synapses, with simulations matching experimental data on PSD95 localization.

The paper introduces a new measure, interference length, to quantify crossover interference and shows it reveals similar patterns across species, suggesting a common mechanism.

The paper uses AI-based 3D tissue mapping to show PanIN lesion sizes follow a power-law distribution and identifies growth mechanisms driving pancreatic cancer precursor lesions.

The paper investigates how meiotic crossover patterning is controlled by ZMM proteins and the synaptonemal complex, showing that HEI10 overexpression increases crossovers and reduces interference while maintaining sexual dimorphism, and ZYP1 mutation disrupts the link between axis length and COs.

This paper develops a model of primacy coding in olfaction, showing it enables effective odor discrimination and connects receptor properties to system performance.