Oluwamayowa Amusat
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Oluwamayowa (Mayo) Amusat is a computational research scientist working on the application of optimization and machine learning techniques to the design and operation of advanced energy, water and manufacturing/critical mineral extraction systems.
Oluwamayowa's research interests centre around the development of numerical optimization, machine learning, PSE, and decision-support tools for the enhancement and improvement of scientific and engineering systems. Oluwamayowa is part of the IDAES, NAWI/WaterTAP, PROMMIS and ScienceSearch projects.
Oluwamayowa originally joined Berkeley Lab in February 2019 as a post-doctoral scholar. He received his PhD in Chemical Engineering from University College London (UCL).
Area of Interest
- Optimisation
- Simulation and Modelling
- Data Science
- Operations Research
- Mathematical Software
- Knowledge Representation and Machine Learning
- Decision Support and Group Support Systems
- Artificial Intelligence and Image Processing
Education
- PhD|University College London, London, United Kingdom
- MSc|University of Leeds, Leeds, United Kingdom
