Roberto completed his undergraduate degree in Chemical Engineering at the University of Chile, graduating with highest distinction. He is currently a master’s student at the same institution and a visiting researcher with the OptiML PSE Group at Imperial College London, working in collaboration with LOOPS at University College London. There, he explores the integration of large language models with symbolic regression for automated kinetic model discovery. He is also affiliated with the Process Modelling and Distributed Computing Lab (PMDC Lab), University of Chile, where his master’s thesis addresses the optimization of mesenchymal stem cell culture in pseudo-perfusion mode through hybrid mathematical modeling and advanced control tools. Motivated by the opportunity to work on a high-impact machine learning tool, he also contributed to the development of an AI-based educational tool that applies natural language processing to support teachers across Chile’s public school system.

Project: LLM-guided symbolic regression for kinetic discovery

✨ Favourite Activities

• 🎹 Piano
• 🏃 Running
• 🎬 Watching films