Gabriel D. Patrón

Research Fellow at Imperial College London's Department of Computing within the Faculty of Engineering, Gabriel D. Patrón focuses on stochastic optimization and control systems for water, energy, and food nexus applications. His work integrates economic incentives with technical systems optimization.

• PhD in Chemical Engineering (2023) from University of Waterloo
• MSc in Computing (2018) from Imperial College London
• BASc in Chemical Engineering (2017) from University of Toronto

Research spans chemical engineering, optimization, process control, and carbon capture, with particular expertise in:

• Real-time optimization algorithms
• Economic model predictive control
• Uncertainty quantification in process systems
• Water-energy-food nexus applications
• Post-combustion CO2 capture
• Aquaculture process optimization

Recent publications show publication trends in CO2 capture and water-energy-food nexus applications, with methodological contributions to real-time optimization and model predictive control. Key application areas include aquaculture systems and chemical looping combustion technologies.

Associated with the Computational Optimization Group (COG) under Professor Calvin Tsay, Gabriel collaborates on projects involving stochastic optimization and energy systems at Imperial College London.