The automated discovery of kinetic rate models – methodological frameworks

Publication
Digital Discovery
Miguel Ángel de Carvalho Servia
Miguel Ángel de Carvalho Servia
Automated Knowledge Discovery Methods in Reaction Engineering

Miguel Carvalho is a chemical engineering PhD candidate at Imperial College London, affiliated with the EPSRC CDT in Next Generation Synthesis and Reaction Technology. He earned an MEng in chemical engineering from The University of Manchester (2021) and an MRes in advanced molecular synthesis from Imperial College London (2022). His research intersects data science, chemical engineering, and chemistry, concentrating on algorithmic solutions for automated knowledge discovery in reaction engineering and catalysis.

Ilya Orson Sandoval
Ilya Orson Sandoval
Knowledge-driven Autonomous Systems - Neural ODEs and Reinforcement Learning

I am a PhD candidate at Imperial College London, where my research focuses on the intersection of reinforcement learning, differentiable programming and nonlinear optimal control. Curiosity driven, usually by applied mathematics and computer simulations with applications over multiple fields! Previously, I worked in data science and software engineering within the energy and food industries in Mexico. I have a background in theoretical and computational physics.

Dr. Ehecatl Antonio del Rio Chanona
Dr. Ehecatl Antonio del Rio Chanona
Principal Investigator of OptiML

Antonio del Rio Chanona is the head of the Optimisation and Machine Learning for Process Systems Engineering group based in thee Department of Chemical Engineering, as well as the Centre for Process Systems Engineering at Imperial College London. His work is at the forefront of integrating advanced computer algorithms from optimization, machine learning, and reinforcement learning into engineering systems, with a particular focus on bioprocess control, optimization, and scale-up. Dr. del Rio Chanona earned his PhD from the Department of Chemical Engineering and Biotechnology at the University of Cambridge, where his outstanding research earned him the prestigious Danckwerts-Pergamon award for the best PhD dissertation of 2017. He completed his undergraduate studies at the National Autonomous University of Mexico (UNAM), which laid the foundation for his expertise in engineering.