Principal Investigator
Principal Investigator of OptiML
Postdoctoral & Affiliated Researchers
Postdoctoral Research Associate
Research Associate / Value Chain Optimisation
AI Postdoctoral Research Fellow
AI Postdoctoral Research Fellow
Postdoctoral Research Associate
PhD Students
Multi-Agent LLMs for Chemical Lab Management Assistance
Optimisation and Graph-Based Machine Learning for Configuration of Chemical Value Chains
Decarbonization of Energy Systems
Deep Reinforcement Learning for Process Control and Scheduling
Decarbonising Chemical Value Chains using AI Agents
Supervised Machine Learning for Retrosynthesis and Synthesis Route Planning
Multi-Agent Reinforcement Learning for Supply Chain Operations
Generative Design and Optimisation of Functional Small Molecules
Probabilistic Machine Learning for Modelling, Control and Optimisation of Process Systems under Uncertainty
Statistical Machine Learning and Optimization for Solvent Selection
Algorithm Design for Efficient Flowsheet Synthesis and Optimisation
Digitalisation of Chemical Value Chains
Integration of AI and Digital Twins to enhance manufacturing and lab operations
High-throughput Synthetic Cell Engineering using Robotics & Machine Learning
Alumni
Head of Innovation at PE Limited, former PhD student at OptiML (2021-2025)
Research Scientist, Former Postdoctoral Research Associate at OptiML 2023-2025
Process Engineer at PE Ltd, former PhD student at OptiML (2021-2025)
Applied Scientist II at Amazon AGI, former PhD student at OptiML (2021-2025)
AI Research Scientist at American Express, former PhD student at OptiML (2021-2025)
ML Engineer Intern at Solve Chemistry, former Research Assistant (2025).
Forward Deployed Engineer at Palantir, former PhD student at OptiML (2021-2025)
Research Scientist at Meta, former PhD student at OptiML (2021-2025)
AI Infrastructure Engineer at Huawei, former PhD student at OptiML (2021-2025)
Bioprocess Modelling Engineer at Polymodels Hub, former PhD student at OptiML (2021-2025)
Postdoctoral Researcher at University of Warwick, former PhD student at OptiML (2021-2025)
Visitors
- Isabela Fons
— Multi-Agent Reinforcement Learning for Energy Flexibility Optimisation
- Vanessa Ménard
— Advanced Modelling and Optimisation for Chemical Processes
- Selma Ouali
— Bayesian Optimization of Fermentation Processes
- Carlos Prieto
— Sustainable process modelling and optimization
- Torben Tiezema
— Bayesian Optimization for Constrained Catalyst Discovery
- José Torraca
— Safe Reinforcement Learning for Process Control
