Speakers

Alvaro Diez Soto 

Alvaro Diez Soto is Head of the unit Innovation and Digital Transformation at Eurostat, the statistical office of the European Union. With a background in computer engineering, he previously held various leadership roles in Eurostat’s unit dedicated to digitalisation and science and technology statistics and before that on the IT units dedicated to statistical production. Prior to joining the European Commission in 2011, he worked for several years in the private IT sector. 

Camille Beaurepaire

Camille Beaurepaire is Head of section Methodology at DSECE (the French statistical service responsible for the production and dissemination of foreign trade data). He is also a PhD student in sociology.

Carola Carstens

Carola Carstens is the project manager of EMOS, the European Master in Official Statistics, and works at Eurostat. In previous positions at the European Commission, she gathered vast experience in managing ICT projects in the fields of big data, Open Data and language technologies. Carola studied International Information Management at the University of Hildesheim in Germany and holds a PhD in Information Science. She believes in the power of statistics and data, is curious about the human factor in AI, and passionate about working in an intercultural environment as well as bringing together stakeholders from different cultural and disciplinary backgrounds.

Antonio Grosso

Antonio Grosso is a former EMOS student who graduated in 2024 from Sapienza University of Rome. Through the EMOS programme, he completed a three-month traineeship abroad at the Hellenic Statistical Authority (ELSTAT), focusing on data analysis, sampling, and GDPR within the official statistics environment. He currently works at Eurostat in Unit C1 - National Accounts Methodology, where he manages the update of the Business Cycle Clock and the Eurostatistics visualisation tool developed in R, maintains the Euroindicators dataset, and contributes to the methodological advancement of European dissemination tools. He has recently been nominated as a member of the Young Statistician Committee of the ISI.

Dario Buono 

Dario Buono holds a PhD in Economics. He works at Eurostat since 2008, currently as Team Leader of Methodology, Training (EMOS & ESTP) and Research (NTTS). Dario is an expert/trainer in Time Series Econometrics, VAR modeling & Macroeconomics Forecasting. His research interests include measures for uncertainty around point estimates and use of LLMs and AI for Official Statistics. 

Johanna Einhorn

Johanna Einhorn completed her master's in Survey Statistics and Data Analysis in 2025, building on a bachelor's in Biomathematics. For her master's thesis, she explored Distributional Random Forests for estimating small area indicators, a topic she now continues as a Research Associate and PhD candidate in Statistics at the University of Bamberg, researching machine learning in small area estimation. Additionally, she is part of the NeDaMo research project, exploring mobile phone data for mobility analysis, and holds a PhD scholarship from the Stiftung der Deutschen Wirtschaft.

Fenicia Carmen Limone

Fenicia Carmen Limone is a final-year MSc student in Data Science at the University of Campania “Luigi Vanvitelli”, where she previously obtained a BSc in Data Analytics. Her interests include official statistics, composite indicators, and statistical and machine learning methods. Her current research focuses on developing a territorial One Health composite indicator for Italian regions. She has gained professional experience at the Italian National Institute of Statistics (ISTAT) through a traineeship and international academic experience at the University of Łódź and Charles University in Prague.

Ulada Dalidovich

Ulada Dalidovich is a master's student in Data Science in Economics at Bratislava University of Economics and Business. She currently works as a Pricing Analyst at an international insurance company. During the summer of 2026, Ulada completed an EMOS internship at Banco de Portugal, where she developed a web application for time series analysis, visualization, and forecasting for the Bank's internal use. She has participated in various international academic programmes, won international programming olympiads, and is conducting master's research on the “Typology of Business Ecosystems in European Union Countries”.

Alessandro Calò

Alessandro Calò recently graduated from the University of Florence with a master’s degree in Statistics and Data Science (EMOS track). His master’s thesis focused on identifying conditional independence structures through quantile graphical models for mixed data. During his studies, he spent a year working as a statistician in a cardiology research group, gaining experience in causal inference using observational data. He also represented the University of Florence at the 2026 Econometric Game in Amsterdam and will soon begin a PhD in Statistics at the University of Florence.

Benjamin Blom

Benjamin Blom holds a bachelor’s degree in Statistics from Örebro University and is currently pursuing a two-year master’s degree in Statistics at Örebro University.

Rasmus Blomstrand

Rasmus holds bachelor’s degrees in Statistics and Economics from Örebro University and has completed two semesters of a master’s programme in Statistics at the same university. His academic focus has primarily been on data analysis and econometrics, developing expertise in statistical methods, quantitative analysis, and the application of statistical techniques to economic data.

Leonie Abrahams

Leonie Abrahams completed her EMOS Master’s in Statistics and Data Science at Leiden University, complemented by academic work in philosophy. With this interdisciplinary foundation, she focuses of bridging analytical statistical methods with ethical reflection. Her work explores how quantitative methods and insights can be responsibly applied in societal and scientific contexts. At the symposium, Leonie presents her thesis, highlighting her commitment to integrating rigorous data analysis with thoughtful consideration of its broader implications.

Simone Marco Vassallo

Simone Vassallo is an incoming PhD candidate at LISER in Luxembourg, in collaboration with KU Leuven. He holds a BSc in Economics from University of Milano-Bicocca, and an MSc in Finance and Economics from the University of Luxembourg, specializing in Financial Economics. His research interests include the economics of innovation, productivity, digital transformation, and corporate governance. He has professional experience in official energy statistics, treasury, and financial operations, including internships at STATEC and roles involving treasury management and financial systems implementation. He is proficient in Stata, R, and Python.

Mishaal Ahmed

Ahmed, a Data Science student from Pakistan at the University of Campania "Luigi Vanvitelli" in Italy, specializes in the European Master in Official Statistics (EMOS) track. His primary interest lies at the intersection of artificial intelligence and advanced statistics, focusing on modernizing statistical methodologies. Driven by data innovation, he explores how machine learning and AI techniques can improve data quality, efficiency, and official statistics processes. Through the EMOS network, he aims to bridge technical machine learning applications with robust statistical frameworks to support evidence-based decision-making.

David Verdelli

David Verdelli is a master's student in Economics and Data Analysis, specializing in the EMOS curriculum at the Università degli Studi di Bergamo. His expertise lies in quantitative modelling, advanced statistical analysis, and complex dataset management. He is proficient in data extraction, processing, and visualization using R and Stata. Currently, as part of his master's thesis and EMOS internship, he is conducting empirical research on longitudinal data, modelling youth labour market transitions using integrated official statistics.

Ondřej Růžička

Ondřej Růžička is a statistician with a background in applied informatics and experience in industrial project management. He holds a master's degree in Statistics from the Prague University of Economics and Business, including the EMOS specialisation. His expertise covers data analytics, statistical modelling and programming. During an internship at the Czech Statistical Office he contributed to internal research and worked on integrating the JMHZ system into labour market statistics, having previously served as New Product Launch Manager at Continental Automotive.

Giulio Dini

Giulio Dini holds a Double Degree MSc in Economics - Official Statistics from the University of Pisa and Scuola Superiore Sant’Anna, and an MSc in Applied Statistics from the University of Trier, within the EMOS programme. His interests focus on official statistics, survey methodology, longitudinal data and statistical methods for addressing non-response and attrition in panel studies. He has experience in statistical programming and data analysis using R. He currently works as a Finance Intern at SLB’s Saline di Volterra production center.

Sara Pieruz

Sara Pieruz is a master's student in Statistical Methods and Applications at Sapienza University of Rome, completing a double degree with ENSAI in France, both on the EMOS track. She is currently a trainee in DG Statistics at the ECB, and her master's thesis examines variation in capital requirements across SSM banks. Her research interests lie in education and labour-market inequality, which she is pursuing as a research assistant at the University of Warwick and in her honours research project on AI exposure and gendered labour-market outcomes.

Ada Gańko 

Ada Gańko is a master's student in the EMOS programme at Warsaw University of Life Sciences in Poland, where she also earned her bachelor's degree in Computer Science and Econometrics. Through Erasmus+ mobilities at the University of Split in Croatia and the University of West Attica in Greece, she broadened her academic expertise, gaining hands-on experience in quantitative methods, data analysis, and economic modeling. Alongside her master's studies, she is currently working in the aviation industry.

Hakile Resulbegoviq

Hakile Resulbegoviq is a Research Coordinator and Senior Data Research Analyst at DAMAR Research Institute and a PhD candidate in Social Science Methodology at the University of Ljubljana. She is also a Teaching Associate at the University of Donja Gorica. Her expertise includes survey methodology, mixed-methods research, questionnaire design, statistical analysis, data quality, and cross-national measurement. She has contributed to large-scale official and social statistics projects and holds an MSc from the European Master in Official Statistics programme.

Valeria Rossi

Valeria Rossi is an EMOS Data Science master’s student at the University of Campania “Luigi Vanvitelli”, where she also completed her bachelor’s in Economics. Her research interests span econometrics, complex systems, causal inference, and quantitative finance, applied to official statistics in her ISTAT internship on mixed-mode surveys using a reproducible R-based architecture. She gained international experience through an Erasmus+ traineeship at Charles University in Prague and served as a university tutor in Probability Theory for two years at the Data Analytics bachelor’s programme.

Teresa Coppola

Teresa Coppola is an Italian student pursuing her master's degree in Data Science at the University of Campania "Luigi Vanvitelli" where she also earned her bachelor's degree in Data Analytics with 110/110 cum laude, with a thesis on clustering and declustering techniques for seismic data. She undertook an Erasmus+ exchange in Prague focused on Network Analysis and Machine Learning, alongside experience as a university tutor in Statistics. She is currently an intern at ISTAT (Italian National Institute of Statistics) and she is preparing a poster for the 16th National Conference on Statistics.

Guillaume Osier

Guillaume Osier is Head of the Living Conditions unit at Luxembourg’s National Statistics Institute (STATEC), where he oversees major household surveys, including the European Union Statistics on Income and Living Conditions (EU-SILC) and the Household Budget Survey (HBS). His areas of expertise are survey statistics and methodology. He has published several articles in these fields and is the author of a book entitled "Sample Surveys in Economics and Finance". He also teaches as an adjunct lecturer in the master’s programme in Finance and Economics at the University of Luxembourg.

António Rua

António Rua holds a PhD in Economics from the Technical University of Lisbon, a master’s degree in Economics from Nova School of Business and Economics, and a bachelor’s degree in Economics from Nova School of Business and Economics. President of Statistics Portugal since November 2024. From 1999 to 2024, he worked in the Economics and Research Department of the Banco de Portugal. Visiting Associate Professor at the Nova School of Business and Economics and Visiting Professor at Católica Porto Business School. He was also a Visiting Associate Professor at ISCTE Business School. Author of numerous research articles published I international scientific journals.