Leila Muresan

Leila Muresan is a Fellow at the University of Cambridge, affiliated with the School of Biological Sciences. She works as a Senior Research Associate and Research Software Engineer in the Department of Physiology, Development and Neuroscience. Her research focuses on computer vision and image processing, with an emphasis on microscopy image analysis, including light sheet microscopy and single molecule localisation microscopy. Her work involves developing solutions for microscopy image analysis and exploring the interplay between bioinformatics and biomaging, as well as deep learning.

Leila Muresan specializes in microscopy image analysis, focusing on dynamic processes in cellular and developmental biology. Her research explores real-time RNA polymerase II clustering, synaptic nanoclusters, and single-cell lineage tracing in the mammary gland. She investigates mechanical coupling in Drosophila development, mRNA trafficking in axons, and neuromesodermal progenitor dynamics. Muresan also examines Notch signaling, ciliary marginal zone dynamics, and Vibrio cholerae chromosome organization. Her work includes single-molecule analysis, light field microscopy, and algorithm benchmarking for neuronal tracing. These studies highlight her commitment to understanding molecular mechanisms through advanced imaging techniques.