“How can we accelerate the optimisation process for flow batteries? A software platform that integrates automation and artificial intelligence, a semantic framework that incorporates various experimental equipment, and a committed and collaborative team. I'm excited to embark on this journey!”
Meng Kong
PREDICTOR Doctoral Candidate

Hi! I'm Meng from China!

My academic career

B.A. in Chemical Engineering and Biotechnology (University of Cambridge, 2017 – 2020)

M.Eng. in Chemical Engineering and Biotechnology (University of Cambridge, 2020 – 2021)

Statistical Programmer Analyst in a Clinical Research Organization (2022 – 2023)

Intermediate Process Engineer in Hydrometallurgy in an Engineering Consultancy (2023 – 2025)

coming soon

About my thesis - A unified framework for end-to-end automated optimisation of flow batteries

The project aims to assist in the development of novel materials and processes for Vanadium flow batteries, a promising technology for large-scale energy storage applications. This work will develop a unified framework for the robotic optimization of flow batteries, working across multiple groups and institutes, to create a coherent and easily transferrable approach – from idea to industrialization.

PhD objectives:

  • Develop a unified software framework: Create a comprehensive software platform capable of generalizing optimization processes for flow batteries.
  • Develop a parameterized framework: Design a flexible framework that incorporates various models and automation software for different equipment.
  • Implement the framework: Apply the developed framework to optimize flow battery development cycles through holistic case studies.