News

Paulina took part in the first steering committee meeting of the new EFCE Section on AI for Chemical Engineering (AI4CE) at the University of Almería, contributing to discussions on AI research, benchmarks and education in our field.

Our hierarchical MPC–RL approach for multi-timescale battery systems was presented at the 23rd IFAC World Congress in Busan, Korea — separating slow, health-aware scheduling from fast, second-by-second market decisions.

Our new preprint introduces DASyR-LLM, a framework that pairs symbolic regression with large language models to discover interpretable kinetic models from noisy data — with equivalent accuracy using up to 79% fewer experiments.

Paulina presented our work on LLM-guided symbolic regression for kinetic model discovery at the 9th ML and AI in (Bio)Chemical Engineering Conference in Cambridge.

We are looking for outstanding postdoctoral researchers interested in applying for the Marie Skłodowska-Curie Postdoctoral Fellowship (deadline: 9 September 2026) to join the LOOPS group at UCL.

Our paper on hierarchical MPC–reinforcement learning for multi-timescale battery systems has been accepted at the 23rd IFAC World Congress.

We are excited to launch the official website of the LOOPS research group at UCL Department of Chemical Engineering.