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)