The International Statistical Institute is pleased to announce the second 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.
Names and Country/Region of the Newly Elected Members
Brazil
• Wagner de Azevedo, João Pedro
Canada
• Labillois, Tony
China
• Xia, Lucy
Georgia
• Todradze, Gogita
Taiwan
• Hwang, Yi-Ting
• Sun, Li-Hsien
United States of America
• Biswas, Swati
• Cao, Jing
• Li, ziyi
• Niu, Xiaoyue
Read some of our Elected Members' biographies below:
Mr. Gogita Todradze has held various positions at the National Statistics Office of Georgia since 2002. He was a head of Business Statistics Department in 2010-2016, and held the post of Deputy Executive Director in 2016-2018.
Mr. Todradze has actively contributed to global statistical Development. He has been a member of the expert group on business statistics of the United Nations Economic Commission for Europe (UNECE) since 2017, and a member of the United Nations Statistical Commission (UNSC) during 2019-2022. He was elected as a Chair of the bureau of the Committee on Statistics of the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) from 2020 to 2022. Mr. Todradze is a member of the Bureau of the Conference of European Statisticians (CES), United Nations Economic Commission for Europe (UNECE) since June 2025.
Gogita Todradze has higher education in the areas of economics (statistics) and legal studies. He was awarded the Academic Degree of Doctor in Economics in 2006.
He is proficient in English, German and Russian languages. He has a spouse and three children
Dr. Jing Cao is a Professor of Statistics and Chair in the Department of Statistics and Data Science at Southern Methodist University. Her research areas include clinical trial design, Bayesian methods and their applications, and machine learning in text analysis. Dr. Cao has years of experience developing Bayesian models with application to psychological and behavioral science studies, high throughput data analysis, spatial-temporal analysis of longitudinal and survival data. Her most recent research direction is to combine statistical learning with machine learning algorithms in sentiment analysis and electronic health record data analysis. Her research has been supported by fundings from NIH, NSF, Patient-Centered Outcomes Research Institute, and Institute of Education Sciences. Dr. Cao also is a fellow of American Statistical Association and a fellow of American Association of Wine Economists.
Tony Labillois is a Canadian statistician with more than 35 years of experience in official statistics, leadership, accessibility and inclusion advocacy, and international cooperation.
At Statistics Canada, he served for over 24 years in senior management, holding leadership roles across economic, social, and demographic statistics. His work spanned survey methodology, national accounts, trade, industry, government finance, justice, community safety, immigration, and diversity data. He co-led Canada’s Disaggregated Data Action Plan (DDAP), a landmark initiative providing more inclusive statistics to inform equity-focused policies. He also directed several innovative initiatives, including the modernization of softwood lumber, mining, and macroeconomic statistics, and helped integrate secure online data collection into national programs. Tony was also part of the Canadian delegation at the United Nations Human Rights Council (4th Universal Periodic Review, 2023). He has contributed to international initiatives with UNECE, OECD, Eurostat, and the UN Statistical Commission, including organizing, chairing, or co-chairing expert sessions.
Beyond official statistics, Tony has been a strong voice for accessibility and inclusion. For more than two decades, he has promoted inclusive research, equity-focused analysis, and disability inclusion in leadership. He served as Champion for Persons with Disabilities at Statistics Canada, in the Canadian public service, and beyond for over 22 years. Since 2020, he has acted as Vice-Chair of the Governing Council and Chair of the Advisory Council of the Canadian Accessibility Network, where he supports research, education, employment, and policy to build a more inclusive society and economy.
For his contributions, he has received national honours, including the Queen Elizabeth II Diamond Jubilee Medal (2012) and the King Charles III Coronation Medal (2025), and in 2025 was recognized as an Elected Member of the International Statistical Institute (ISI).
Respected for his ability to bridge statistical expertise with human values, Tony continues to advise public, academic, and community organizations on inclusive data governance, statistical modernization, and accessibility.
Li-Hsien Sun is a Professor in the Graduate Institute of Statistics at National Central University. He received his Ph.D. in Statistics and Applied Probability, with emphases in financial mathematics and statistics, from the University of California, Santa Barbara.
His research spans mathematical statistics, time series and symbolic data analysis, control theory, stochastic analysis, and financial mathematics and economics. In particular, he has developed statistical methods for change-point detection and applied stochastic models to investigate systemic risk. His work has been published in leading journals in statistics and financial mathematics, including the Journal of Economics and Mathematical Finance.
In addition to his research, Li-Hsien is now the council member of the Chinese Institute of Probability and Statistics (CIPS) and serves on the editorial boards of several academic journals.
Why Become an ISI Elected Member and Why Nominate a Colleague
The International Statistical Institute brings together professionals who advance statistical science across sectors and around the world. ISI Elected Membership is more than a personal achievement. It is a recognition of excellence, a platform for influence, and a way to shape the future of our profession.
Why apply or accept a nomination
Elected Membership represents one of the highest professional honours within the international statistical community. It conveys credibility, leadership, and respect for your contributions.
It provides visibility beyond your institution or country, enabling connections with peers whose work is shaping policies, economies, and societies worldwide.
It offers the opportunity to influence initiatives, discussions, and collaborations that advance innovation across disciplines and borders.
It grants access to The International Statistical Institute's global network, events, and collaborations, creating new opportunities for research, partnerships, and impactful projects.
It stands as recognition that inspires others, demonstrating the value of statistical work to colleagues, institutions, and future generations.
Why Recommend Someone?
Many professionals underestimate the significance of their own impact. By nominating a colleague for ISI Elected Membership, you help highlight their achievements and ensure their voice is heard within the global statistical community. This act both celebrates excellence and strengthens the international network of leaders who are advancing the field.
Becoming, or recommending, an ISI Elected Member is not only about honouring past achievements. It is also about contributing to a future in which statistics continues to serve society, science, and decision making at the highest level.
