How can statistics aid research about health effects of air pollution and climate change? What is the underlying difference between data science and statistics? What is the Harvard data science initative? Francesca Dominici is here to answer all these questions for you! Dr. Dominici obtained her PhD degree in statistics from University of Padua in Italy and currently is Clarence James Gamble Professor of Biostatistics, Population and Data Science at the Harvard TH Chan School of Public Health and Co-Director of the Harvard Data Science Initiative. The main focus of her research is to utilize statistical techniques in addressing significant problems in environmental health science, pollution and climate change. Her studies have resulted in a direct and continuous impact on air quality policies, leading to more stringent standards for ambient air quality in the United States. In addition, she has a keen interest in Bayesian causal inference methods for large-scale observational data and their potential application to comparative effectiveness research in cancer. Other than the academic achievements, Dr. Dominici also devotes herself into promoting diversity in academia. Let's dive into this episode to see what she shared with us! Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes. If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast Powered by Firstory Hosting