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Oluwamayowa Amusat

Computational Research Scientist/Engineer

Data Science Applications

Orcid identifier0000-0002-4569-5729
  • Computational Research Scientist/Engineer
    Data Science Applications

BIO

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).

LAWRENCE BERKELEY NATIONAL LAB APPOINTMENTS

  • Computational Research Scientist/Engineer
    Lawrence Berkeley National Laboratory, Computing Sciences, Scientific Data, Berkeley, CA, USA20 Jun 2022 - present

ACADEMIC POSITIONS

  • Computational Systems Research Scientist/Engineer
    Data Science Applications, Scientific Data, Computing Sciences, Berkeley, United States2022 - present
  • Postdoctoral Researcher
    Data Science Applications, Scientific Data, Computing Sciences, Berkeley, CA, USA11 Feb 2019 - 2022

DEGREES

  • PhD, Chemical Engineering
    University College London, London, United Kingdom
  • MSc, Chemical Engineering
    University of Leeds, Leeds, United Kingdom

AREA

  • Computing Sciences

DIVISION

  • Scientific Data

RESEARCH AREAS