We are delighted to announce the first round of Elected Members for 2025. Please join us in congratulating these professionals, whose dedication and impact in the field of statistics and data science. These individuals have been awarded the title of Elected Member of the International Statistical Institute.
Find a list of our newest Elected Members below:
China
• Yang Xinhong
Finland
• Sara Taskinen
Italy
• Mira Antonietta
• Ivaldi Enrico
Japan
• Abe Takayuki
Korea
• Yoo Jae Keun
Netherlands
• Cavicchia Carlo
Serbia
• Bojana Milosevic
Taiwan
• Huang Shih-Feng
United States
• Berhane Kiros
• Ding Shanshan
• Hu Jianhua
• Zhu Wang
These individuals from all over the globe have been recognized for their professional contribution and commitment to the field of statistics and data science. We warmly welcome them to our global global community.
What is ISI Elected Membership?
The International Statistical Institute is a membership society connecting statisticians and data professionals worldwide. Our members come from academia, government institutions, central banks, national statistical offices, and the private sector—each contributing to a stronger, more informed global statistical community.
Becoming an Elected Member of the ISI is a distinguished honor, granted to those who have made substantial professional contributions in statistics. This recognition reflects the respect of your peers and the global community for your work and expertise.
As an ISI Elected Member, you gain:
- Global recognition for your contributions to the field of statistics and data science
- One free membership to any of the ISI's official Associations
- The opportunity to influence, lead, and share knowledge on an international platform
By becoming an ISI Elected Members, you are helping shape the future of statistical science. Whether in research, practice, policy, or education.
Once again, congratulations to our newest Elected Members. We are honored to have you as part of our vibrant, global network.
Read some of our Elected Members' biographies below:
Antonietta Mira
Antonietta Mira is a Professor of Statistics at Università della Svizzera italiana (Lugano, Switzerland) and Insubria University (Como, Italy).
She is a Fellow of the International Society for Bayesian Analysis, the Institute of Mathematical Statistics, the Istituto Lombardo Academy of Science and Letters, and Elected Member of the International Statistical Institute. She has also been elected in the Research Council of the Swiss National Science Foundation (2025-2028).
She serves on the board of the Harvard Data Science Review, the Swiss Statistical Society, and served on the board of the Swiss Federal Statistics Committee (2020-23). Her main research interests are Bayesian statistical models for complex data, uncertainty quantification, model selection, and efficient Monte Carlo simulation algorithms.
Her research leadership is demonstrated by visiting fellowships at prestigious universities such as Harvard, Cambridge, and QUT Brisbane, advisory board memberships, papers published in leading journals, keynote invitations at world statistical conferences, editorial board memberships of major statistical journals, and leading roles in scientific committees of international conferences. She dedicates considerable time and energy to science dissemination and has published an award-winning book on the 'Coronadata Pandemic’ (Mondadori, 2020). Through television, radio, and journalistic media, she actively promotes the culture of data science.
In her free time, Antonietta is a practicing magician with a specific interest in mathematical magic, on which she published a book in 2012. She performs magic in pediatric hospitals as a volunteer Doctor Clown and has created a conference-show on mathematics and magic, which she performs in theaters and lecture halls during Science Festivals. This is just one of her many science popularization activities, which also include the creation of the exhibit "Numbed by Numbers", a 3D tour through Digits (math), Dice (probability), and Data (statistics).
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Carlo Cavicchia
Carlo Cavicchia is an Assistant Professor of Statistics at the Econometric Institute of Erasmus University Rotterdam. His research focuses on the methodological and computational aspects of data analysis, with a focus on latent variable models, unsupervised classification, and model-based composite indicators. He teaches statistics and data science at both undergraduate and graduate levels and supervises MSc and BSc theses in Econometrics, Statistics, and Data Science.
Carlo currently serves as the Data Analysis Competition Officer for the International Association for Statistical Computing (IASC) for the 2023–2025 term. His previous roles include National Board Member (2021–2022) and National Coordinator of y-SIS (2022). An active contributor to the academic community, he regularly reviews for peer-reviewed statistics journals and has organized conferences such as DSSV 2020 and DSSV-ECDA 2021. He is also involved in the program committees of various conferences, including CLADAG-VOC 2025, CLADAG 2023, IES 2023, IES 2022, and SIS 2022.
In recognition of his contributions, Carlo received the IFCS Chikio Hayashi Award in 2024.
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Kiros Berhane
Kiros Berhane is chair of the Department of Biostatistics and the Cynthia and Robert Citrone-Roslyn and Leslie Goldstein Professor at the Mailman School of Public Health, Columbia University, USA. He received his PhD in biostatistics from the University of Toronto, Canada, and did postdoctoral research at Johns Hopkins University, USA. Prior to joining Columbia in 2020, he was a professor at the University of Southern California for over 20 years. Berhane is a widely published expert on the development of statistical models that analyze complex and correlated data and the application of these models in public health, with a special focus on the health impacts of environmental factors and climate change. He was a Fulbright Scholar in 2016-2017, is an elected fellow of the American Statistical Association, and an elected fellow of the American Association for the Advancement of Sciences.
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Enrico Ivaldi
Enrico Ivaldi is Associate Professor in Demography and Social Statistics, in the Faculty of Communication, at IULM University of Languages and Communication, Milan campus. He holds a PhD in Applied Economics and Quantitative Methodologies from the University of Genoa. He is on the Editorial Board of the journals Social Indicators Research, Quality and Quantity, Sustainability, Scientific Reports, Plos One, International Journal of Transport Economics (IJTE), Revista de Estudios Andaluces (REA). He is a member of the Scientific Committee of the National Nautical Observatory and of the faculty board of the PhD in Social Sciences, University of Genoa and the Doctorate of National Interest in European Studies. He is also a member of the Centro de Investigaciones en Econometría of the Universidad de Buenos Aires, Argentina, and of the Pontificia Accademia Mariana Internazionale, Department of Integral Welfare, Vatican City.
Author of more than 70 scientific publications, he is a member of the Italian Statistical Society and the Royal Statistical Society. His main areas of scientific interest are the analysis of social indicators, the study of deprivation and inequality, and smart and sustainable cities. In parallel, he also works on local history and microhistory of Alto Monferrato.
Sara Taskinen
Professor Sara Taskinen is a University Lecturer at the Department of Mathematics and Statistics at the University of Jyväskylä. Her main research interests includes statistical methods for biology and ecology, statistical signal processing and nonparametric and robust multivariate methods.
