“Causal Inference for Environmental Health Data: Estimating Causal Effects in the Presence of Spatial Interference”, presented by Nathan Wikle, Department of Statistics and Data Sciences, University of Texas at Austin.
Author: Yuan, Yelie
Two New Undergraduate Degrees in Data Science
Beginning in Fall 2023, students will be able to pursue a BA in Applied Data Analysis or BS in Statistical Data Science.
Nidhi Nair ’23 (CLAS) named UConn’s first Schwarzman Scholar
Nair is one of 151 Schwarzman scholars who will study at the Tsinghua University in Beijing in 2022-23 in pursuit of a one-year master’s degree. Nearly 3,000 students applied to the program.
Dipak Dey wins IISA Lifetime Achievement Award for 2022
The Lifetime Achievement Award (LAA) recognizes distinguished members of the association who represent ‘models of excellence’ to the International Indian Statistical Association (IISA) members.
Sandra Milena Hurtado Rúa ’11 Ph.D. received Fulbright Scholarship
Sandra Milena Hurtado Rúa ’11 Ph.D. named Fulbright Scholar. The Fulbright Program is the U.S. government’s flagship international educational exchange program and is funded through an annual appropriation made by the U.S. Congress to the U.S. Department of State’s Bureau of Educational and Cultural Affairs.
Statistics Colloquium: Steve Leeds, Ironwood Pharmaceuticals
“Non-Technical Strategies and Behaviors Every Successful Data Analyst Should Adopt”, presented by Steve Leeds, Vice President of Business Analytics, Ironwood Pharmaceuticals
Statistics Colloquium: Stefano Iacus, Harvard University
“Sentiment Analysis, Social Media and Subjective Well-Being”, presented by Stefano Iacus, Senior Research Scientist and Director of Data Science and Product Research, The Institute for Quantitative Social Science, Harvard University
Yan Zhuang, ’18 Ph.D. elected to membership in the ISI
Yan Zhuang, ’18 Ph.D. has been elected to membership in the International Statistical Institute (ISI).
Statistics Colloquium: Hongtu Zhu, UNC-Chapel Hill
“Statistical Learning Methods for Neuroimaging Data Analysis with Applications”, presented by Hongtu Zhu, Professor, Department of Biostatistics, University of North Carolina at Chapel Hill, Gillings School of Global Public Health.
Wenlin Yuan ’22 Ph.D. received Statistics in Biosciences Best Paper Award
“Flexible Conditional Borrowing Approaches for Leveraging Historical Data in the Bayesian Design of Superiority Trials”, co-authored by Wenlin Yuan, John Zhong, and Ming-Hui Chen, is selected to receive one of the 2023 Statistics in Biosciences Best Paper Awards.