Stefano M. Iacus is the Director of Data Science and Product Research at the Institute for Quantitative Social Science, Harvard University. He is also the Managing Director of the Dataverse Project and a member of the executive committee of the OpenDP Project. The Data Science Services and the Data Acquistion & Archiving teams at IQSS also refer to him. Iacus is also an affiliate faculty of the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard. Iacus started his academic career at the University of Milan (Italy), where he became full professor of statistics in 2015. He founded and directed the Data Science Lab and two master courses in Finance and Economics and Data Science for Economics. In the period 2019-2022, he has also served as officer at the Joint Research Centre of the European Commission, where he led the team that explored the usage of non-traditional data sources in the context of evidence based policy making in migration and demography to support action during crisis periods and to refine preparedness measures. Since 2006, he has had a recurring visiting position at the Graduate School ot Mathematics at the University of Tokyo (Japan) and he co-leads the Yuima project. He has been a member of the R Core Team for the development of the R statistical environment from 1999 till 2014 and is now a member of the R Foundation for Statistical Computing. Iacus’ accomplishments extend beyond academia. During the COVID-19 pandemic, he managed a large-scale business-to-government project for the European Commission, producing insights for policy-making using data from mobile network operators covering most European Union member states. Iacus has published several books, many scientific articles, and a variety of open-source software products in a number of fields including causal inference, sentiment analysis, inference for stochastic processes, computational statistics, and quantitative finance. His work is widely cited across scholarly fields. He has founded two startup companies in the fields of social media analysis and quantitative finance.<embed>Stefano Iacus
Director of Data Science and Product Research,
Senior Research Scientist
Stefano M. Iacus is the Director of Data Science and Product Research at the Institute for Quantitative Social Science, Harvard University. He is also the Managing Director of the Dataverse Project and a member of the executive committee of the OpenDP Project. The Data Science Services and the Data Acquistion & Archiving teams at IQSS also refer to him. Iacus is also an affiliate faculty of the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard. Iacus started his academic career at the University of Milan (Italy), where he became full professor of statistics in 2015. He founded and directed the Data Science Lab and two master courses in Finance and Economics and Data Science for Economics. In the period 2019-2022, he has also served as officer at the Joint Research Centre of the European Commission, where he led the team that explored the usage of non-traditional data sources in the context of evidence based policy making in migration and demography to support action during crisis periods and to refine preparedness measures. Since 2006, he has had a recurring visiting position at the Graduate School ot Mathematics at the University of Tokyo (Japan) and he co-leads the Yuima project. He has been a member of the R Core Team for the development of the R statistical environment from 1999 till 2014 and is now a member of the R Foundation for Statistical Computing. Iacus’ accomplishments extend beyond academia. During the COVID-19 pandemic, he managed a large-scale business-to-government project for the European Commission, producing insights for policy-making using data from mobile network operators covering most European Union member states. Iacus has published several books, many scientific articles, and a variety of open-source software products in a number of fields including causal inference, sentiment analysis, inference for stochastic processes, computational statistics, and quantitative finance. His work is widely cited across scholarly fields. He has founded two startup companies in the fields of social media analysis and quantitative finance.<embed>