Thierry Pécot, PhD
Université de Rennes 1 (Microscopy Rennes Imaging Center and Histopathology High Precition)
Dr. Pécot is an engineer and applied mathematician with expertise in bioimage informatics. He has developed algorithms and analysis pipelines in the Icy suite of microscopy software for a variety of biological applications. Since 2016, he has been developing a deep learning framework for segmenting cell nuclei in microscopic images, which is used in a pipeline designed to profile tumor immune status, among other applications.
Dr. Pécot teaches algorithms how to recognize objects in images, and his project aims to enable biologists to apply deep learning tools to their own images. Interacting with biologists allows him to identify the needs required to develop a deep learning suite for segmentation at a large scale. This suite will then be extended to design software that biologists can run themselves. Additionally, he teaches a bimonthly tutorial about free software used to process biomedical images.