My name is Andrea (@alandella).

I am an industry professional, and my work sits between industrial research and process engineering. My experience ranges from modelling and simulation of catalysts and reaction systems for CO₂ upcycling, to applying machine learning for data-driven optimization of manufacturing processes. I enjoy turning ideas from research 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 drawn to the mathematical physics underlying chemical reactivity, in particular rare-events and stochastic simulation of chemical kinetics, which became the subject of my MSc thesis.

My interests sit at the intersection of theory, simulation, and experiment. I aim to develop new computational methods to elucidate atomistic and molecular phenomena in reactive systems, and I'm increasingly exploring quantum simulations and AI4Science approaches (such as generative molecular design, reaction pathway exploration, surrogate modelling, and high-throughput characterization) for discovering and engineering novel materials for chemical reactions of industrial interests, such as CO₂ conversion.

On the side, I am interested in 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 check out my website. I'm always happy to connect!