My name is Andrea (@alandella).

I am an industry professional, and my work sits between use-inspired research and chemical engineering practice. My experience ranges from designing catalysts and modelling process systems for CO₂ upcycling, developing ML tools for data-driven optimization of manufacturing plants, and scaling-up waste upcycling processes. I enjoy turning research ideas into solutions that work at scale.

I hold a double MSc in Chemical & Sustainable Process Engineering from Politecnico di Milano and Politecnico di Torino. During my studies, I was captivated by computational physics and its approaches to predict chemical reactivity, as I focused on stochastic simulations of rare event processes in chemical kinetics for the main subject of my MSc thesis.

I am also captivated by the interface between theory, simulation, and experiment. I am interested in developing computational methods to elucidate how atomic-scale phenomena impact the macroscopic behaviour of reactive systems. I am exploring AI4Science approaches (e.g. generative molecular design, reaction pathway exploration, fast surrogate modelling, and high-throughput characterization) and their integration into molecular simulation workflows, in order to accelerate the discovery and design of materials and molecules.

On the side, I am interested in reading and learning the mathematical foundations of engineering, especially the geometric and algebraic structure underlying analytical mechanics. An exemplary treatise I enjoy reading is Lanczos, among others.

See my publications on Google Scholar and visit my website. I'm always happy to connect!