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School Faculty of Science and Technology
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Department Computer Science
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Location London
Research activities
Her research focuses on advancing the efficiency and applicability of modern machine learning. She investigates methods to improve the energy efficiency of both machine-learning algorithms and GPU-accelerated computing, to enable more sustainable, scalable AI systems. She also works on physics-informed machine learning, integrating scientific principles with data-driven models to enhance accuracy and interpretability. Beyond foundational research, she develops practical machine-learning solutions for real-world challenges, including optimisation of industrial processes and innovative applications within the pharmaceutical industry.
Current Teaching
CST4011 Software Development