Bruno Tissot is the Head of statistics and research support at the BIS and Head of the secretariat of the Irving Fisher Committee on central bank statistics (IFC). He has been working at the BIS since 2001, as Senior economist and Secretary to the markets committee of central banks in the monetary and economic department and then as the Adviser to the general manager and Secretary to the BIS executive committee. Between 1994 and 2001 he worked for the French Ministry of Finance. He is currently Head of BIS statistics and research support and is a graduate from École Polytechnique (Paris) and of the French Statistical Office INSEE.

Juri Marcucci holds a PhD in Economics from the University of California, San Diego. His doctoral thesis was on financial econometrics, under the supervision of Professor Robert Engle (winner of the 2003 Nobel Memorial Prize in Economic Sciences) and it focused on the predictive ability of Regime-Switching GARCH models and common features in volatility. He lectured at the University of Bologna, and Tor Vergata University of Rome and he is currently lecturing a course on “Data-Driven Economics” at the Sapienza University of Rome. He has been visiting scholar at the Federal Reserve Bank of Boston, University of California San Diego and Universitat Pompeu Fabra. He is the organizer of the Italian Summer School of Econometrics on behalf of the Italian Econometric Association (SIDE). He has been the Bank of Italy’s member of the Big Data Committee at the Italian National statistical institute. He has been guest editor of the journals Econometrics and the International Journal of Forecasting. He is co-organizing a series of webinars on Applied Machine Learning, Economics, and Data Science (AMLEDS).

He has worked at the Bank of Italy since 2004 where he has coordinated the task force on Big Data and Machine Learning since 2016. He is now working in the Research Data Center and Innovation Lab in the DG Economics, Statistics and Research. His research interests are on Big Data, Text Mining, forecasting and applied econometrics.

His work appeared in the J. of Econometrics, International J. of Forecasting, Studies in Nonlinear Dynamics & Econometrics, J. of Economics and Business, J. of International Financial Markets, Institution & Money, International Review of Financial Analysis.

Kimmo Soramäki is the founder and CEO of Financial Network Analytics (FNA) and the founding editor-in-chief of The Journal of Network Theory in Finance. He started his career as an economist at the Bank of Finland where he developed in 1997 the first simulation model for interbank payment systems. In 2004 while at the research department of the Federal Reserve Bank of New York, Mr Soramäki was among the first to apply methods from network theory to improve our understanding of financial systems. During the financial crisis of 2007-2008 he advised several central banks, including the Bank of England and European Central Bank, in modelling interconnections and systemic risk. This work led him to found FNA in 2013 provide solutions to monitor the complex financial networks that play a continually larger role in the world around us. Mr Soramäki holds a Doctor of Science in Operations Research and a Master of Science in Economics (Finance), both from Aalto University in Helsinki.

Eoin MacCuirc works for the Irish, Central Statistics Office (CSO) in Cork since 1994. Eoin works in Business Liaison and Quality Assurance, Technology Division and has responsibility for the coordination and management of Electronic Data Capture on Mobile Devices, the CSO Data Management System, rolling out Agile Project Management and Design Thinking across Technology Division and standardising the project management and governance of Technology Division projects.

Eoin has performed many roles in the CSO at all stages of the statistical production process.  Eoin sits on many local, national and international working groups and present regularly at conferences at home and abroad.

Eoin sits on the National Public Bodies Advisory Group on Open Data, is a member of the ESS Open Data Committee and Working Group on High Value Datasets, a member of the Smart Dublin Advisory Network and Cork Smart Gateway and Programmable City Groups. Eoin was on the Eurostat DIGICOM steering group a cross cutting project on digital communication, user analytics and innovative products in the European Statistical System. Eoin led the CSO participation in the ESSnet on Linked Open Data to maximise the openness, linkability, analytical and machine accessibility of ESS statistical data. Eoin coordinated and managed the delivery of the ESS IT Security Framework throughout CSO. Eoin lectures in the Institute of Public Administration Diploma course in Official Statistics.

Besides his involvement in the traditional data analytics used in gathering, collating and publishing statistics Eoin has an interest in empowering expert and non-expert users to engage with and analyse statistical data in its many formats. Eoin led the CSO involvement in the Open Cube Project and a UNSD collaboration on spatially representing and visualising SDG indicators. Eoin is particularly interested in how machine readable data, web services and linked data formats will facilitate data analytics across data domains into the future.

Eoin studied Business and Social Studies in Trinity College, Dublin and is a trained project manager and IT System analyst.

Eoin is a native English speaker with basic communication skills in French.

Maryam Haghighi is the Director of Data Science at the Bank of Canada, where she provides strategic leadership for data science, including artificial intelligence and machine learning, in support of Canada’s central bank’s mandate.

She has successfully led diverse teams, from academic environments to global enterprises and private partnerships, to solve complex data problems for multi-billion-dollar projects on the ground and in the skies.

Prior to joining the Bank, she pioneered the first ever space-based data analytics system of a new satellite constellation. As Canada’s delegate to international panels under the United Nations, she provided data and modelling expertise for the global aviation risk management.

Previously, she successfully applied her expertise to a diverse range of projects within the Government of Canada, in health care and in not-for-profits.

She holds a doctorate in Mathematics and a Master of Science in Applied Mathematics from the University of Ottawa. She was a professor of mathematics and computer science courses and has been a technical consultant in patent processes. She has a deep passion for interdisciplinary work as well as supporting women in technology initiatives.