Dr. Rob J. Hyndman - Ensemble Forecasts with {fable}


Dr. Adam Obeng - Adaptive Experimentation


Ludmila Janda - Using R to Better Understand R-Ladies NYC


Emily Robinson - {funneljoin}: Defining a Tidy Grammar on Funnels in R


Jared P. Lander - Finding the Tallest Tree: Comparing Decision Tree, Random Forest & Boosted Tree


Dan Chen - Grading Code with gradethis


Dr. Jon Krohn - Deep Learning Battle: TensorFlow 2 vs PyTorch


Andrew Gelman - Truly Open Science: From Design and Data Collection to Analysis and Decision Making


David Smith - MLOps with R: An End-to-End Process for Building Machine Learning Applications


Laura Gabrysiak - Re-Inventing Customer Engagement with Machine Learning


Brooke Watson Madubuonwu - Modeling COVID-19 Spread in Jails and Communities, in R


Dr. Sebastian Teran Hidalgo - Doubly Robust Estimation of Causal Effects in R


Catherine Zhou - Why NYR? Finding You(R) Community


Dr. Jacqueline Nolis - What I Learned from Porting my Viral Website from .NET to {shiny}


Sonia Ang - Automated Machine Learning


Emily Dodwell - All the World’s A Stage: Elements for Vis of Multivariate Spatiotemporal Data in R


Jonah Gabry - A New Way to Interface with Stan from R


Wes McKinney and Dr. Neal Richardson - Speeding Up Data Access in R with Apache Arrow


Dr. Thomas Mock - Higher, Further, Faster with Marvelous RMarkdown


David Robinson - The {widyr} Package


Dr. Max Kuhn - Resampling, Repeated Measures Designs, and You


Dr. Erin LeDell - Scalable Automatic Machine Learning in R


Monica Thieu - How to Prepare and Teach an R Lesson


Camelia Hssaine - What to do When You Can't A/B test: Exploring Different Causal Inference Methods


BONUS TALK | Heather Nolis - Speech: The Other, Other NLP