useR! was an annual, international conference of leading statisticians and data scientists from around the world. In recent years, it has been held in Toulouse, France; Brisbane, Australia; Brussels, Belgium; and Stanford, California. The conference was the main annual meeting of the R community, and attendance in 2020 was anticipated over 1,000 people. Attendees included R developers and users who are data scientists, business intelligence specialists, analysts, statisticians from academia and industry, and students.
Applied Mathematician at Co-founder Accendo Data LLC
I am an experienced applied mathematician. Using mathematical models and algorithms I am able to provide strategic solutions that mesh well with the missions of the business companies I work for.
I have designed, prototyped, and implemented recommendations systems for digital media (movies, music, videos, books) and for retail cross-sell and up-sell of products.
I have extensive knowledge of parallel programming, functional programming, and object-oriented programming and design patterns. I also have extensive experience of developing and applying various data analysis algorithms (classification, regression, time series, etc.)
Right now, I am very interested in natural language processing, combinatorial optimization, domain specific language design and interpretation, and conversational agents design and programming.
In my spare time I am working on a book for mathematical applications in Chemistry and Chemical engineering.
Data Visualization Specialist at Statistics Netherlands
I have a passion for data visualization, in particular maps. It is where data science meets arts. From a data science perspective, visualization helps to explore, analyze, and communicate data. From an artistic point of view, it is all about beauty, elegance, and harmony. By combining these two fields, data visualizations become meaningful and appealing.
What I also find very interesting is how to use big data for the production of official statistics. Standard methodology has been developed for survey and administrative data, but not yet for big data. I am especially interested in sensor data, such as mobile phone data, road sensor data and satellite data.
I am an active user of the programming language R, which is a Swiss army knife for data scientists, with only a few code lines required to analyze data and create data visualizations. I am the author of three R packages: tmap, a system to plot thematic maps, tabplot, for visualizing large tabular data, and treemap, for plotting hierarchical data.