All times are listed in Pacific Standard Time (PST)
Session 1: Programming
11:30a - 1:00p
Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach
Jacqueline Gutman, Flatiron Health
vctrs: Creating custom vector classes with the vctrs package
Jesse Sadler, Loyola Marymount University
Asynchronous programming in R
Winston Chang, RStudio
Azure Pipelines and GitHub Actions
Jim Hester, RStudio
Session 2: Finance
2:15p - 3:45p
15 Years of R in Quantitative Finance
Brandon Farr, Copper Rock Capital Partners
Deep Learning Extraction for Counterparty Risk Signals from a Corpus of Millions of Documents
Moody Hadi, S&P Global - Market Intelligence
Rpanda trading simulation - from an idea to a multi-user shiny app
Nima Safaian, rpanda
The good, the bad and the ugly: What I learned while consulting across the business as a data scientist
Ben Barnard, Wells Fargo
Session 3: Pharma
4:00p - 5:30p
Approaches to Assay Processing Package Validation
Ellis Hughes, Fred Hutch Cancer Research Center
Building a native iPad dashboard using plumber and RStudio Connect in Pharma
Aymen Waqar, Astellas Pharma US
FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the tidyverse
Nathaniel Phillips, Roche
Using R to Create Reproducible Engineering Test Reports
Ana Alyeska Santos, Biosense Webster, Inc.
All times are listed in Pacific Standard Time (PST)
Session 4: Medicine
10:30a - 12:00p
Building a Medical Device with R
Ron Keizer, InsightRX
Development of a web-based clinical decision support application for platelet transfusion management
Justin Juskewitch, Mayo Clinic
Forecasting Platelet Blood Bag Demand to Reduce Inventory Wastage at the Stanford Blood Center
Qian Zhao, Stanford University
Shiny New Things: Using R to Bridge the Gap in EMR Reporting
Mr. Brendan Graham, Children's Hospital of Philadelphia
Session 5: Programming
1:00p - 2:30p
Auto-magic package development: Building an R API for building Vega-Lite Specs
Alicia Schep, Outlier AI
Bridging the gap between SQL and R: Introducing queryparser and tidyquery
Ian Cook, Cloudera
List-columns in data.table: Reducing the cognitive and computational burden when working with comple
Tyson Barrett, Utah State University
Advances in tidyeval
Lionel Henry, RStudio
