I am researcher, innovator and generalist deploying optimization and machine learning techniques for complex challenges. My background is in computer science, firmly grounded in the theory of algorithms and complexity. I like to apply science and during my career I had the pleasure to collaborate and publish together with experts from various domains, including network science, epidemic modelling, neuroscience, cyber-security, gaming and space. I am known for my contributions and participations at the Global Trajectory Optimization Challenge (GTOC) and the organisation of various machine learning challenges on the Kelvins portal of the European Space Agency (ESA). My current focus is on the application of artificial intelligence towards space applications, such as pose estimation, trajectory optimization, spacecraft autonomy and space domain awareness.