Dear Colleagues,
The ASA Section on Statistical Computing (SSC) is hosting an online mini-symposium (
asa-ssc.github.io/minisymp2022) on November 12, 2022. The event aims to showcase the power/beauty of statistical computing to students; help practitioners sharpen their statistical computing skills; and foster community across different computing languages.
Saturday, November 12, 2022 (All times are Central Time)
+ 11:00 am – 11:10 am: Welcoming Remark (Chair: Jun Yan, University of Connecticut)
- Ron Wasserstein, Executive Director, ASA
+ 11:10 am – 12:10 pm: Keynote Address (Chair: Linglong Kong, University of Alberta)
- Douglas Bates, Emeritus Professor of Statistics, University of Wisconsin-Madison: Cross-language technologies for statistics and data science
+ 12:15 pm – 02:00 pm: Data Jamboree (Chair: Lucy D'Agostino McGowan, Wake Forest University): Each language, in alphabetical order, will be allocated 25 minutes to tackle the same problems from the NYC Crash data, followed by questions.
- Julia: Josh Day, Senior Research Scientist, Julia Computing.
- Python: Dan Chen, Postdoctoral Research and Teaching Fellow, University of British Columbia
- R: Sam Tyner, Data Scientist, Tritura
+ 02:00 pm – 03:30 pm: Panel Discussion, Frontliners and Next Frontiers of Statistical Computing in Data Science (Moderator: Kun Chen, University of Connecticut)
- Hannah Frick, Software Engineer, Posit
- Haoda Fu, Associate Vice President Enterprise Lead Machine Learning and AI, Eli Lilly.
- Eric Kolaczyk, Professor of Statistics and Inaugural director of the Computational and Data Systems Initiative (CDSI), McGill University.
- Teresa Filshtein Sönmez, Biostatistician, Quantitative Scientist, 23andMe.
The event was designed to be student and practitioner friendly. It is free for student members of the Statistical Computing Section. There is a nominal registration fee for ASA members, which is further reduced for non-student members of the Statistical Computing Section. We appreciate your sharing with anyone who may be interested in statistical computing and data science.
Registration Preparation: For ASA members, please have your ASA member ID number handy. For non-members, please consider joining ASA and our section (SSC).
The Program Committee
(Kun Chen, Linglong Kong, Samantha Tyner, Jun Yan, and Hua Zhou)