Shaping Tomorrow: The Future of Data Science in the Age of AI

In the age of artificial intelligence, the world as we know it is evolving, and we’re looking towards a future where AI will increasingly be working alongside people, opening up new opportunities for all generations. So, how can data scientists help shape the future and will AI replace Human Data Scientists?

Hosted by Dr Tillman Weyde, Reader in the Department of Computer Science at City St George's, this event will discover the evolving role of artificial intelligence and the future of data science. The event will include expert talks from an academic and an industry expert. From academia, Prof Artur Garcez, Professor of Computer Science at City St George's, will discuss data science, AI, machine learning and the disruption, productivity and big skills reset surrounding those topics.

Following the two introductory talks, there will be a panel discussion. This event will give participants an excellent opportunity to engage in expert talks and thought-provoking conversation with alumni, prospective students, students and academics.

The panel discussion will be followed by a Q&A, where you are invited to pose your own questions and share your views.

Programme

18:00 - 18:05 Welcome by Dr Tillman Weyde

18:05 - 18:40 'Shaping Tomorrow: The Future of Data Science in the Age of AI'

18:40 - 18:55 Q&A

18:55 - 19:00 Final remarks and event closure

About the host

Dr Tillman Weyde -  Reader in the Department of Computer Science, City St George's, University of London

Dr Tillman Wayde is a Reader in the Department of Computer Science, head of the Machine Intelligence and Media Informatics Research Group and a member of the Machine Learning Group, and Senior Tutor for Research.

He works on machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security and education. His latest research focuses on creating inductive biases in neural networks for rule-learning, extrapolation, generalisation, and interpretability.

Before Dr Weyde joined City he was a researcher and coordinator of the MUSITECH project at the Research Department of Music and Media Technology at the University of Osnabrück. He holds degrees in Computer Science, Music, and Mathematics and obtained his PhD in Music Technology on the topic of on combining knowledge and machine learning with neuro-fuzzy methods in the automatic analysis of rhythms.

He is an associated member of the Institute of Cognitive Science and the Research Department of Music and Media Technology of the University of Osnabrück, as well as the Intelligent Systems Research Laboratory at the University of Reading.

About the speakers

Professor Artur d'Avila Garcez -  Professor of Computer Science, City St George's, University of London

Professor Artur Garcez is Director of the Research Centre for Machine Learning at City St George's, University of London. He holds a PhD in Computing (2000) from Imperial College London. He is a Fellow of the British Computer Society (FBCS).

Professor Garcez has an established track record of research in Machine Learning, Neural Computation and Artificial Intelligence. He is president of the steering committee of the Neural-Symbolic Learning and Reasoning Association, and founding course director of City's MSc in Data Science. He has co-authored two books: Neural-Symbolic Cognitive Reasoning, 2009, and Neural-Symbolic Learning Systems, 2002. His research has led to publications in the journals Behavioral & Brain Sciences, Theoretical Computer Science, Neural Computation, Machine Learning, Journal of Logic and Computation, IEEE Transactions on Neural Networks, Journal of Applied Logic, Artificial Intelligence, and Studia Logica, and the flagship AI and Neural Computation conferences AAAI, NeurIPS, IJCAI, IJCNN, AAMAS and ECAI.

Professor Garcez holds editorial positions with several scientific journals in the fields of Computational Logic and Artificial Intelligence, and has been Programme Committee member for several conferences, including IJCAI, IJCNN, NeurIPS and AAAI.

Aishwarya Chandra Shekhar (MSc Data Science, 2020) - Data Scientist, AXA Health

Aishwarya is a Data Scientist with experience across the fintech and healthcare sectors. She is currently part of the Agentic AI team at AXA Health, where she develops AI-driven solutions to address business challenges in the insurance industry. Her work focuses on the practical application of AI and its growing role in transforming data science and business decision-making.

Moiz Sakarwala (MSc Data Science, 2024) - Marketing Analyst, TikTok

Moiz Sakarwala is a proud alumnus of City St George’s, University of London and currently works as a Marketing Analyst at TikTok. Originally from Mumbai, he moved to London to pursue a Master's in Data Science and has since built a career helping global agencies and brands across UK and Europe use data and measurement to make better marketing decisions.

Murad Noor (MSc Data Science, 2024) - Player Intelligence Architect, FootIntel Foundation Corporation Ltd

A recent university graduate with a bachelor's degree from Queen Mary in Mathematics and Statistics with a master's degree in Data Science who is currently working in the field of Artificial Intelligence as a Founding Engineer. I specialise within the field of Computer Vision and Natural Language Processing. I possess additional skills in Data Analytics and Data Engineering through the completion of academic coursework and work placements.

Ruth Wetters (MSc Data Science, 2021) - Senior Data Scientist, Knight Frank LLP

Ruth is a data scientist in Knight Frank's modelling & intelligence team, specialising in spatial data and natural language processing. She is responsible for applying cutting-edge machine learning techniques to answer a wide variety of questions, in collaboration with teams in global research, data, residential development, rural, marketing, capital markets, and more.