I am an image and data analysis scientist working on bioimage informatics at the Institut Pasteur, Paris. I am a member of the Bioimage Analysis Laboratory led by Prof. Jean-Christophe Olivo-Marin. I received a Ph.D. in image analysis from the University of Virginia in 2015 under the supervision of Dr. Scott T. Acton, with a focus on developing automatic tools for analyzing microscopy images. From 2015 to 2018, I was a lead scientist at General Electric Global Research Lab, where I worked on machine learning and deep learning based applications for the healthcare industry. I led a team of researchers to conceptualise and develop the first AI based fully automated tool for analysis of fetal health via three dimensional ultrasound. Click here for more information.
My current interest spans the field of image analysis and machine learning, with an emphasis on problems such as variational modelling, deep learning, hybrid learning, and inverse problems. I am particularly interested in developing statistical tools for analyzing the interplay between molecules and cells imaged via traditional or super-resolution microscopy.