MrAntonio Malpica-Morales

I am a PhD student in the Complex Multiscale System in the Department of Chemical Engineering at Imperial College London, headed by Prof. Serafim Kalliadasis. I hold a President's PhD Scholarship co-supervised by the honorary research fellow Dr. Miguel Durán-Olivencia. Prior to this I worked as a lead cloud architect at Allfunds, the world leading wealthtech, and as a data scientist at Ebury, an european fintech. I completed a double Master's degree in Industrial Engineering, and in Research in Engineering System Modelling at Comillas Pontifical University, ICAI, Madrid (Spain).

My current research interest is the understanding and implementation of data-driven and machine learning techniques to model and predict complex systems. Applying these techniques to a wide variety of real complex systems (fluids, climate, social networks or financial markets) allows us to infer and extract the hidden dynamic laws that govern the time-evolution of such intricate systems. Obtaining these dynamic laws is essential to explain certain phenomena that emerge as the result of the non-trivial interactions between the system’s constituents.