Principal Investigator
Dr. Ehecatl Antonio del Rio Chanona
Principal Investigator of OptiML
Postdoctoral & Affiliated Researchers
Dr. Ana Marisa Arias
Research Associate
Laura Helleckes
AI Postdoctoral Research Fellow
Dr. Austin Mroz
AI Postdoctoral Research Fellow
PhD Students
Akhil Ahmed
Adaptive Modelling, Control and Optimization of Large-Scale Systems using Machine Learning
Abdullah Bahamdan
Decarbonization of Energy Systems
Max Bloor
Deep Reinforcement Learning for Process Control and Scheduling
Miguel Ángel de Carvalho Servia
Automated Knowledge Discovery Methods in Reaction Engineering
Friedrich Hastedt
Supervised Machine Learning for Retrosynthesis and Synthesis Route Planning
Buse Sibel Korkmaz
Advancing Large Language Models for Comprehensive Scientific Assistance
Niki Kotecha
Multi-Agent Reinforcement Learning for Supply Chain Operations
Mathias Neufang
Statistical Machine Learning and Optimization for Solvent Selection
Ilya Orson Sandoval
Knowledge-driven Autonomous Systems - Neural ODEs and Reinforcement Learning
Emma Pajak
Digitalisation of Chemical Value Chains
Tom Savage
Applied Data-Driven Optimisation
Damien van de Berg
Data-Driven Optimization for the Integration of Interconnected Process Systems
Haiting Wang
Hybrid modeling for bioprocesses - merging first principles and machine learning
Luxi Yu
Towards online quality control of biotherapeutics through soft sensing of intracellular states
Zhengang Zhong
Data-Driven Distributionally Robust Control
Visitors
Carlos Prieto
Sustainable process modelling and optimization
