My JSM 2016 itinerary

The Joint Statistical Meetings are in Chicago next week. I thought I’d write down the set of sessions that I plan to attend. Please let me know if you have further suggestions.

First things first: snacks. Search the program for “spotlight” or “while supplies last” for the free snacks being offered. Or go to the page with the full list.

Sunday

• (2:00 – 3:50) Open source statistical software for data science
  • Skipper Seabold on Software Engineering
  • Jake VanderPlas on Python
  • Doug Bates on Julia
  • Dirk Eddelbuettel on Rcpp
  • Michael Kane on Grammars & structures in R, Python, and Julia
• (4:00-5:50) Hard choice:
  • Sequencing association studies and rare-variant analysis for complex traits with Gonçalo Abecasis, Xihong Lin, Seunggeun Lee, Iuliana Ionita-Laza
  • Extraordinary impact of statistics, with David Siegmund, Heike Hofmann, and Sally Morton
  • Precision medicine with Kim-Anh Do, Hongzhe Li, and Li Hsu (and with Bhramar Mukherjee as discussant)
  • Media and statistics with Howard Wainer, Barry Nussbaum, Julie Rehmeyer, and Don Berry (and Andrew Gelman as discussant)
  • Information visualization with Jorge Poco, Anushka Anand, Zan Armstrong, Zhicheng Liu, and Gordon Kindlmann (organized by Yihui Xie)
• (6:00 – 8:00) Opening Mixer & Invited posters (featuring Garrentt Grolemund, Tian Zheng, Liz Sweeney, David Robinson, Hilary Parker, Alyssa Frazee, and Jeff Leek)

Monday

• (8:30-10:20) Applied data visualization (organized by Hilary Parker)
  • Hadley Wickham on Linked brushing in R
  • Andreas Gros on Data vis at Facebook
  • Lynn Cherny on Cocktail party horror stories about data vis for clients
  • Andrei Scheinkman on Data vis at 538
  • Jeff Leek on Teaching data vis to 100k data scientists

  Also of interest: Introductory Overview on Causal Inference by Judea Pearl

• (10:30 – 12:20) Statistics in genomics and genetics
  • John Storey on latent variable methods
  • Rafael Irizarry on overcoming bias and batch effects in RNA-seq data
  • Kathryn Roeder on testing high-dim differential matrices
  • Michael Newton on Graph-restricted mixture models
• (4:45-6:15) ASA President’s invited address: Joe Palca (NPR) on Science and news: A marriage of convenience

Tuesday

• (8:30 – 10:20) Hard choice:
  • Statistical genetics for large-scale genomic data with Mary Sara McPeek, Timothy Thornton, Michael Epstein, and Michael Wu
  • Intro Overview on Data science with Philip Yu and Michael Jordon
  • Microbiome data analysis with Xiang Zhan, Pixu Shi, Georg Gerber, Hyunwook Koh, and Richard Bonneau
• (10:30-12:20) Hard choice:
  • Data journalism and statistical expertise with Regina Nuzzo, Alberto Cairo, Mark Hansen, Carl Bialik, and Katherine Hobson
  • Data in and outside the undergrad classroom with Ani Adhikari, Mark Daniel Ward, Robert Gould, and Colin Rundel (organized by Mine Cetinkaya-Rundel)
• (2:05-3:50) Hard choice:
  • Single-cell RNA-seq with Raphael Gottardo, John Marioni, Rahul Satija, and Stephanie Hicks (organized by Rafael Irizarry)
  • The 3d Genome with Mark Segal, Zhaohui Qin, Zheng Xu, and Deepak Nag Ayyala (organized by Shili Lin)
  • Interactive visualizations with Vincent Nijs, Ryan Hafen, Joseph Cheng, John Muschelli, Carson Sievert, and Yihui Xie (organized by Ramnath Vaidyanathan
  • Integrative data analyses with Sunduz Keles, Yuan Jiang, Yongdai Kim, and Jun Xie
• (8:00-9:30) ASA President’s Address: Jessica Utts on Appreciating statistics

Wednesday

• (8:30 – 10:20) Reproducibility in statistics and data science
  • Jenny Bryan
  • me
  • Karthik Ram
  • Mine Cetinkaya-Rundel
  • Yihui Xie (discussant)
• (10:35 – 12:20) 2016 Statistical computing and graphics award honors William S. Cleveland with Nicholas Fisher, Dianne Cook, Luke-Jon Tierney, Steve Scott, and Jim Harner
• (2:05 – 3:50) Hard choice:
  • Batch effects in genomics data with Claire Ruberman, Jingshu Wang, Jennifer Listgarten, Davide Risso, and Florian Buettner
  • Genomics and epigenomics data with Ker-Chau Li, Yuping Zhang, Hongkai Ji, Guo-Cheng Yuan, and Hao Wu
  • When the plot is not the end: computing and reasoning on data visualizations with Barrett Schloerke, Haley Jeppson, Gabriel Becker, and Hector Corrada Bravo
• (4:45-6:15) Fisher Lecture: Alice Whittemore on Personalizing disease prevention

Thursday

• (8:35 – 10:20) Julia for modern statistical computing with Josh Day, John Myles White, Stefan Karpinski, and Jiahao Chen (and Doug Bates as discussant)
• (10:35-12:20) Showcasing statistics and public policy with Andrew Gelman, Peter Imrey, and J. R. Lockwood (and David Banks as discussant)

Tags: conference