I have a PhD in computer science from the Institut National de Science Appliquées (INSA), Lyon, France. During my PhD, I contributed and developed novel algorithms for 3D object modeling, visualization and shape statistical analysis. Since my 2014-15 post-doctoral fellowship at the Brigham Women's Hospital, I have used web technologies to develop new visualization tools for medical images and 3D objects in the browser as well as all the logic and infrastructure to handle thousands of images. I have contributed to the development of methods for statistical analysis in clinical studies. The Dental and Craniofacial Bionetwork for Image Analysis DSCI, is a platform to federate clinical and imaging data as well as computational methods for shape statistics. I have supervised the last 3 major releases of the Slicer Craniomaxillo Facial software, as well as the development of plugins: ShapeVariationAnalyzer and Multivariate Functional Shape Data Analysis - MFSDA. Recently, I have started working with Dr. Stringer, in the Ultrasound Fetal Age Machine Learning Initiative (US-FAMLI) which aims to develop a low-cost obstetric ultrasound for use in low- and middle-income countries. The objective is to to use machine learning algorithms to estimate gestational age and make diagnoses without requiring a skilled ultrasonographer. I use state of the art neural network architectures to detect features in the images allowing measurement of fetal biometry structures, thus, predict gestational age.