Centre for Data Science & AI

Dr Katy Tant

Senior Lecturer (Systems Power & Energy) and Honorary Lecturer (School of Engineering), James Watt School of Engineering

We asked Dr Tant to answer a few questions about her background with data science and AI and her hopes for the future of the Centre for Data Science & AI.

Can you tell us about your background in Data Science and AI, and how your experiences have shaped your approach to the programme you'll be directing?

My primary research interest lies in developing mathematical models and frameworks that enable us to work backwards from observed data to gain insights into the world around us. Specifically, I focus on interpreting scattered wave data to image the interior of solid objects and map their spatially varying material properties. This capability to look inside opaque objects has applications in a diverse array of fields, including non-destructive evaluation, medical imaging and diagnosis, and seismology. In recent years, my research group has expanded beyond traditional inverse problem frameworks to examine the use of deep learning to approximate the high-dimensional, nonlinear relationships between observed data and its causal factors.

My research sits at the interface between applied mathematics, data science, engineering and industry, and I am committed to promoting the need to work across these disciplines to tackle real-world challenges. I hope to use this collaborative, multi-disciplinary approach to inform and direct the Physical Sciences and Engineering Programme.

What are your key goals and aspirations for the programme you're leading, and what do you hope and/or envision the Centre’s impact on the wider University will be?

My key goal is to establish the University of Glasgow as a leading centre for AI in Physical Sciences and Engineering by connecting our strengths in foundational AI with major application areas including healthcare technologies, sustainable and green technologies, and critical technologies. Through the programme, I hope to create a more connected and visible AI ecosystem that brings together researchers across disciplines, strengthens partnerships with industry and public-sector organisations, and accelerates the translation of research into real-world impact.
 
More broadly, I see the Centre playing a pivotal role in connecting communities across the University, fostering interdisciplinary collaboration, supporting responsible and innovative AI adoption, and enhancing our reputation for world-leading research. Ultimately, I want the Centre to act as a catalyst for discovery, innovation and societal benefit, ensuring that AI becomes an enabling force across the University's research portfolio.