Dana-Farber Data Science Podcast Shaping the future of #datascience. Powering #cancerresearch at Dana-Farber.

What is machine learning? What distinguishes it from statistics? Daniela Witten, PhD is Professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics. Dr. Witten develops statistical machine learning methods for high-dimensional data, with a focus on unsupervised learning.

Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.

How prevalent is image alteration in biomedical research publications? What counts as manipulation? Elisabeth Bik, PhD, Principal at Harbers Bik, LLC, is a science consultant and microbiome, science integrity and image forensics expert.

Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.

How should we teach data science? Jeff Leek, PhD is a Professor at the Johns Hopkins School of Public Health, co-editor of Simply Statistics, co-director of the Johns Hopkins Data Science Lab and co-founder of Problem Forward Data Science.

Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.

How can we best communicate our data science findings using #dataviz? Alberto Cairo, PhD is a journalist, designer, and the Knight Chair in Visual Journalism at the School of Communication of the University of Miami (UM). He is the author of How Charts Lie, The Truthful Art, The Functional Art, and Nerd Journalism. He is also the director of the visualization program at UM’s Center for Computational Science.

Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.

How does data transform policy making? Arnaldo and Rafa discuss the importance of data-driven decisions in governance and the state of data in PuertoRico.

For the past 17 years, Arnaldo Cruz has worked for the government, private and nonprofit sectors, focused in analytics, program evaluation, finance, and information technology. He is currently the Director of Research and Policy of the Financial Oversight and Management Board of Puerto Rico. the Office of Management and Budget at the City of Chicago, and several other organizations. Arnaldo is co-founder of ABRE Puerto Rico, an organization dedicated to promoting data driven decisions in Puerto Rico. He has also worked for the US Census, the Mayor’s Office of Workforce Development, he was chairman of the board of the Puerto Rico Institute of Statistics, the government entity in charge of establishing the statistical policy for the Commonwealth and is an adjunct professor at Sacred Heart University College of Business. Arnaldo has a Masters in Public Policy, from the Harris School of Public Policy Studies at the University of Chicago.

Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.

How is statistics used to predict elections? Andrew and Rafa discuss the U.S. 2020 Election and the role of the electoral college, polls, mail-in ballots and voter data in forecasting results and post-election outcomes.

Andrew Gelman, PhD is a professor of statistics and political science at Columbia University. He is one of the go-to statisticians for the New York Times and author of perhaps the most popular statistics blog: Statistical Modeling, Causal Inference, and Social Science. He has received the Outstanding Statistical Application award three times from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. Books he has authored and co-authored include Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, Data Analysis Using Regression and Multilevel/Hierarchical Models, Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do, A Quantitative Tour of the Social Sciences, and Regression and Other Stories.

Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.