Keynote and invited speakers

Keynote Speakers

Track: Dataviz

Sharon Machlis

Sharon Machlis is Director of Editorial Data & Analytics at IDG Communications, a global technology media company that publishes Computerworld, CIO, PCWorld, and Macworld, among other brands. In her current role, she hosts InfoWorld’s “Do More With R” video series, writes R how-to articles, helps colleagues with data journalism projects, codes tools for colleagues around the world, and analyzes editorial web metrics. Sharon is the author of “Practical R for Mass Communication & Journalism” and the Computerworld Beginner’s Guide to R She has also written a number of R packages, among which SunsetTSA.

Track: Production

Kelly O'Briant

Kelly O’Briant is a Solutions Engineer at RStudio interested in configuration and workflow management with a passion for R administration. She has a background in data science, software engineering and cloud computing, with degrees in bioinformatics and computational sciences. In 2016, Kelly founded the Washington DC chapter of R-Ladies, a global organization dedicated to increasing gender diversity in the R community.

Track: World

Tomas Kalibera

Tomas Kalibera is researcher at the Czech Technical University. As an active R Core developer Tomas has been contributing improvements and bug fixes to multiple parts of the R runtime including the byte-code compiler and interpreter, source reference handling, Windows specific code, package installation, memory management, object dispatch and function invocation. He implemented and maintains rchk, a tool for finding PROTECT bugs, which he uses regularly to check CRAN packages. He has been helping the CRAN team with checking and debugging packages, and is a member of the R Foundation.

Track: Machine Learning

Francesco Bartolucci

Francesco Bartolucci is a Professor of Statistics in the Department of Economics of the University of Perugia, where he also coordinated the Doctorate program in “Mathematical and Statistical Methods for the Economic and Social Sciences”. His main research interests of Francesco Bartolucci are focused on: Longitudinal and panel data, Latent variable and mixture models, Marginal models for categorical data, Optimization and Markov chain Monte Carlo algorithms. He co-authored the R packages LMest, MultiCIRT, MLCIRTwithin, cquad and extRC.

Track: Applications

Jared Lander

Jared Lander is Chief Data Scientist at Lander Analytics, and Adjunct Professor at Columbia Business School, where he teaches the Introduction to Programming in R course. He is organizer of the New York Open Statistical Programming Meetup and Series Editor for Pearson. He is author of the R pacakges coefplot, useful, resumer and RepoGenerator, as well as the book “R for Everyone: Advanced Analytics and Graphics”. His work with the Minnesota Vikings in the 2015 NFL Draft has been featured in in the Wall Street Journal.

Track: Lifesciences

Stephanie Hicks

Stephanie Hicks is an Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. She is also a faculty member of the Johns Hopkins Data Science Lab, co-host of The Corresponding Author podcast discussing data science in academia, and co-founder of R-Ladies Baltimore. Her research interests are at the intersection of statistics, genomics, and data science. She actively contributes software packages to Bioconductor and is involved in teaching courses for data science and the analysis of genomics data.

Invited Speakers


Ioannis Kosmidis

Track: Machine Learning

Reader in Data Science
University of Warwick


Colin Gillespie

Track: Production

Jumping Rivers


Maëlle Salmon

Track: Production

Research software Engineer


Edwin Thoen

Track: World

Data Scientist


Szilard Pafka

Track: Machine Learning

Chief Data Scientist


Britta Velten

Track: Lifesciences

DKZF German Cancer Research Center


Colin Fay

Track: Production

Data Scientist & R Hacker


Robin Lovelace

Track: Applications

Univserity of Leeds


Romain Francois

Track: Applications

Software Engineer


Dean Attali

Track: Dataviz

Founder & Lead R-Shiny Consultant

Invited CovidR Winners


Emanuele Guidotti

PhD Student
University of Neuchâtel


Mark Hanly

Centre for Big Data Research in Health, UNSW Sydney