As an applied mathematician I consider myself to be a curious and eager individual with a passion to apply my analytical skills to solve real world problems and support innovative design thinking. My appetite for learning has driven me to work in different areas of mathematics and computing giving me a broader perspective on how to effectively translate research into practical thinking. I enjoy working in interdisciplinary environments and firmly believe that computational mathematics can be a powerful tool to understand the world. I have worked in both public and private institutions within Europe in the last fifteen years in the area of applied and computational geometry with contributions in computer geometric design, medical devices, collision detection, ship building and robot motion planning. In particular I have worked in surface stitching and flattening algorithms to design fair ship hulls and approximation of scanned anatomical parts with NURBS surfaces aiding the design of medical devices. I have been involved in the design and implementation of software to support computer assisted fabrication of prosthetic and orthotic devices, with a focus on geometric design and numerical control. In recent years I am more interested in learning and applying machine learning and deep learning methods in image processing to solve problems with high social impact. In my current role I am working on image processing algorithms for calibration of RealSense D400 cameras used in a software for surgery navigation.

I am particularly looking to build my skills in machine learning and ai while volunteering for projects with social impact, my preference is to work on problems related to health and medicine but I am also open to other areas.