Email: e.fink@mdx.ac.uk
Office address: TG17
Biography & Qualifications
Elisabeth Fink holds a DPhil (PhD) in Pure Mathematics from the University of Oxford. Before this, she graduated with distinction in Mathematics and Computer Science from the University of Technology in Vienna. Her experience includes several years as a Postdoc at the ENS Paris as well as the University of Ottawa. Dr Fink gained valuable industrial insight when working as a Data Scientist in logistics, banking and a research centre for pharmaceutical engineering. Since 2025, she has been a Lecturer in Computer Science at Middlesex University London.
Research Output & Interests
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.
Publications Repository
More here: https://orcid.org/0000-0003-1299-2310