Insurance Data Science Conference

Bayes Business School, City St George’s, University of London, Northampton Square, London EC1V 0HB

19 - 20 June 2025

Insurance Data Science Conference

19 - 20 June 2025

Bayes Business School, City St George's, University of London

The conference brings together academics and practitioners in areas including data science, analytics, machine learning, artificial intelligence and InsurTech, as applied in the insurance industry.

Keynotes were given by:

James David Long (CTO, Palomar)
Magdalena Ramada (Senior Director, WTW)
Johanna Ziegel (Department of Mathematics, ETH Zurich)

Missed out or want to revisit the insights? Read the recap of IDSC 2025.

We look forward to next year’s conference, which will take place on 9 - 10 June 2026 in Hannover, Germany, organised by the House of Insurance at the Leibniz University of Hannover.

Key dates

Abstract submission

Closed 21 March 2025
Registration

Closed 2 June 2025
7th Insurance Data Science Conference

19 - 20 June 2025

Organisers

Markus Gesmann, ICMR & Bayes Business School
Ioannis Kyriakou, Bayes Business School
Pietro Millossovich, Bayes Business School
Andreas Tsanakas, Bayes Business School
Rui Zhu, Bayes Business School

Gold Sponsors

Posit: We help the world make sense of data.

Ledger Investing: We are building an open insurance system to connect risk to capital

Silver Sponsors

Markel: Bold ideas. Honest actions.

Mirai Solutions: Smarter analytics - better decisions

Ki: Risk, simplified.

Please contact us for sponsorship opportunities

Conference programme

London 2025

Programme and abstract booklet

Conference programme, slides and abstract booklet

Past conference programmes can be found here.

Keynote speakers

London 2025

James ‘JD’ Long

Is Data Engineering the New Data Science?

James ‘JD’ Long is the Chief Technology Officer at Palomar, where he blends his expertise in insurance, reinsurance, data science, and technology. His career spans roles at RenaissanceRe, Guy Carpenter, KPMG, and Genworth Financial where JD has driven innovation in risk management and quantitative analysis by bridging between core business executives and tech and quant teams. His ability to demystify complex models and communicate insights effectively is his super power.

Magdalena Ramada

Emerging Technologies - Current Impact on the Insurance Value Chain

Magdalena Ramada is a Senior Director and Global InsurTech Innovation Leader at WTW’s Insurance Consulting and Technology (ICT). She leads ICT’s inorganic growth strategy as well as its interaction with the external insurtech ecosystem globally. She joined the firm as a Senior Economist at Watson Wyatt’s Research and Innovation Center in 2005. She has 20+ years of experience in R&D and international strategy consulting and was WTW’s Global Head of Research and Analytical Services. Magda holds a M.Sc. in math. Finance and a PhD in Quantitative Economics and Finance. She also holds a professional certificate on Innovation from the MIT Professional Education Program.

Johanna Ziegel

Conformal calibration guarantees for reliable predictions

Johanna Ziegel is Professor of Statistics at ETH Zurich, since 2024. She is Visiting Scientist at the Heidelberg Institute for Theoretical Studies. Johanna obtained her PhD in 2009 at ETH Zurich and then held postdoctoral in Melbourne, and Heidelberg. In 2012 she joined the University of Bern, where she was promoted to Associate Professor in 2018 and to Full Professor in 2023. She has been a Council Member of the Bernoulli Society and has served as Associate Editor for several leading international journals including Mathematical Finance, Bernoulli, JASA: Theory & Methods, Journal of Financial Econometrics, and International Journal of Forecasting. She won the Credit Swiss Award for Best Teaching at the University of Bern in 2022.

Panel discussion

Effective Collaboration between Academia and Industry in Insurance Data Science

Aurélien Couloumy

Panellist

Aurélien is Managing Director, AI Engineer and Actuary at Dylogy, a risk knowledge platform specialising in Gen AI and risk management. He has held several senior positions in the past for various insurance companies and consulting firms. He is also a qualified actuary and research professor at the Institute of Financial Science and Insurance (ISFA - University of Lyon 1).

Dylan Liew

Chair

Dylan is a qualified actuary, the Deputy Chair of the Federated Learning Working Party, Explainable AI Working Party, and the IFoA Data Science Research section. His background spans Risk, Bancassurance, Life, and Health with a focus on Pricing. He currently works at Bupa as the Head of Technical Pricing & Data.

Małgorzata Śmietanka

Panellist

Dr Małgorzata Śmietanka is an actuary with a PhD in Computer Science and a researcher at University College London. She chairs the Federated Learning Working Party at the IFoA and leads the External Engagement Pillar, fostering collaboration between industry and academia. She specialises in LLMs and privacy-preserving AI, with a focus on practical implementations in insurance.

Tina Thomson

Panellist

Tina is a Regional Director at Gallagher Re, driving digital transformation within their Global Digital & Analytics Team. With over 15 years in re/insurance across various roles, she previously launched the Gallagher Research Centre and led international catastrophe analytics. Tina holds a PhD in Geomatic Engineering from UCL and is a fellow of relevant UK professional societies, including co-founding a disaster risk management group.

George Tzougas

Panellist

George Tzougas is an Associate Professor at Heriot-Watt University and Academic Director of the Scottish Financial Risk Academy. Previously at LSE, UCC, and Athens University, his research spans applied, computational statistics, and statistical machine learning in insurance and computational finance. He has published in leading journals and received two Best Paper Awards from the IFoA (2021) and SCOR (2023).

See all posts

Scientific committee

Academic	Industry
Andreas Tsanakas (Bayes Business School)	Can Baysal (Munich Re, Munich)
Arthur Charpentier (Université du Québec à Montréal)	Claudio Giancaterino (Towards Innovation Lab, Italy)
Bernard Wong (UNSW Sydney)	Davide de March (Markel, London)
Despoina Makariou (University of St Gallen)	Dylan Liew (Bupa, London)
Filip Lindskog (Stockholm University)	Giorgio Alfredo Spedicato (Unipol Group, Milan)
Ioannis Kyriakou (Bayes Business School)	Grainne McGuire (Optum)
Katrien Antonio (KU Leuven, University of Amsterdam)	Jürg Schelldorfer (Swiss Re, Zurich)
Mario Wüthrich (RiskLab, ETH Zurich)	Luca Baldassarre (Swiss Re, Zurich)
Mathias Lindholm (Stockholm University)	Marcela Granados (Databricks, New York)
Mike Ludkovski (UC Santa Barbara)	Markus Gesmann (ICMR, London)
Montserrat Guillén (Universitat de Barcelona)	Markus Senn (Partner Re, Zurich)
Munir Hiabu (University of Copenhagen)	Mick Cooney (Describe Data, Dublin)
Pietro Millossovich (Bayes Business School)	Ronald Richman (Johannesburg, South Africa)
Rui Zhu (Bayes Business School)	Wui Hua (John) Ng (Zurich Financial Services, Melbourne)
Salvatore Scognamiglio (University of Naples)
Silvana Pesenti (University of Toronto)
Stefan Weber (House of Insurance, University of Hannover)

Insurance Data Science Conference