Joe Cheng is RStudio's Chief Technology Officer, and the original creator of Shiny. He was the first employee at RStudio, joining founder J.J. Allaire in 2009 to help build the RStudio IDE.
Abstract : Shiny's Holy Grail: Interactivity with reproducibility
Julien Cornebise is a Director of Research at Element AI and Head of the London Office. He is also an Honorary Associate Professor at University College London. Prior to Element AI, Julien joined DeepMind (later acquired by Google) in 2012 as an early employee. During his four years at DeepMind, he led several fundamental research directions used in early demos and fundraising, he helped create and lead its Health Applied Research Team. Since leaving DeepMind in 2016, he has been working with Amnesty International. Julien holds an MSc in Computer Engineering, an MSc in Mathematical Statistics, and earned his PhD in Mathematics, specialised in Computational Statistics, from University Paris VI Pierre and Marie Curie and Telecom ParisTech, for which he received the 2010 Savage Award in Theory and Methods from the International Society for Bayesian Analysis.
Abstract : "AI for Good" in the R and Python ecosystems
Bettina Grün is an Associate Professor at the Department of Applied Statistics, Johannes Kepler University Linz. She holds a PhD in Applied Mathematics from the Vienna University of Technology, obtained under the supervision of R Core team member Fritz Leisch. She has co-authored several packages available on CRAN, among them flexmix for flexible finite mixture modeling, and is an editor-in-chief of the Journal of Statistical Software.
Abstract : Tools for Model-Based Clustering in R
Julie Josse focuses her research on the development of methods to deal with missing values and of matrix completion. She has also specialized in principal components methods to explore and visualized complex data structures. Her fields of application include mainly bio-sciences and public health. Julie Josse is dedicated to reproducible research and has developed many packages, including FactoMineR and missMDA to disseminate her work. she is a member of the R Foundation and of Forwards, a task force to increase the participation of minorities in the R community.
Abstract : A missing value tour in R
Martin Morgan has worked on the Bioconductor project for the statistical analysis and comprehension of high-throughput genomic data for more than 12 years; he has lead the project since 2008. Martin Morgan is Professor in the Biostatistics and Bioinformatics department at Roswell Park Comprehensive Cancer Center in Buffalo, NY, USA. He has previously held positions at the Fred Hutchinson Cancer Research Center and Washington State University. Martin Morgan's original training was in evolutionary genetics, with a PhD from the University of Chicago.
Abstract : How Bioconductor advances science while contributing to the R language and community.
Julia Stewart Lowndes PhD is a marine ecologist, data scientist, and Mozilla Fellow at the National Center for Ecological Analysis and Synthesis (NCEAS), USA. As founding director of Openscapes and science program lead of the Ocean Health Index, and co-founder of Eco-Data-Science and R-Ladies Santa Barbara, she works to increase the value and practice of environmental open data science. She earned her PhD at Stanford University in 2012 studying drivers and impacts of Humboldt squid in a changing climate
Abstract : R for better science in less time