Human‑Centred AI Design & Optimisation for Process Systems
Human‑in‑the‑loop design and optimisation of process systems with AI guardrails, focusing on domain‑consistent models, interpretability, and robust decision‑making.
Projects
Scale Lab works across machine learning, optimisation and engineering systems, with projects that span human‑centred AI design, environmental sustainability, and data‑driven manufacturing. Below is a selection of active and past projects.
Active Projects
Data Science for Environmental Sustainability
Heat‑wave driven vulnerable gender‑difference mortalities around the globe, University of Cambridge, UK. Combining climate data, epidemiology and machine learning to understand and mitigate heat‑related risks.
Deep Sensor Network Placement
Environmental and Sustainability Division, The Alan Turing Institute, UK. Optimisation‑driven design of sensor networks using deep learning and uncertainty quantification for environmental monitoring.
Past Projects
Data‑driven Modelling and Optimisation of Process Systems
Techniques for advancing net‑zero from power systems, University College London, UK (January 2022 – July 2025). Development of robust, interpretable ML‑based optimisation frameworks for coal and gas power stations.
Responsible & Trustworthy AI
Economic landscape analysis, University of Cambridge, UK (August 2024 – March 2025). Studying incentives, risks and governance mechanisms for responsible AI deployment in infrastructure systems.
E‑waste Recycling
Development of green and sustainable technology for recovery of metals from electronic waste, UCL–IIT Delhi Strategic Collaborative Project (April 2022 – June 2024). Combining process systems engineering and machine learning for circular economy solutions.
Data‑Driven Manufacturing
Towards flexible production of energy carriers for a net‑zero society, Johnson Matthey and The Alan Turing Institute, UK (November 2023 – December 2023). Data‑centric workflows for adaptive, low‑carbon chemical manufacturing.