Working at RStudio

I've joined Hadley's team at RStudio.

Unsurprisingly, I’ll be working on some modeling related R packages and infrastructure. It is very exciting and I’m looking forward to learning a lot and creating some cool things.

I've had a great time doing drug discovery at Pfizer for the last 12ish years and I’ll miss working with everyone there.

My contact info has been changed on my existing R packages and you can find me either using my personal email (mxkuhn@gmail.com), RStudio address (max@rstudio.com), or github page

2016 UK Tour

I'll be in the UK next week doing three talks in three days:

• First, I'll be giving a talk at the London R-Ladies meetup on Monday October 3rd with perhaps the best title yet: Whose Scat Is That? An 'Easily Digestible' Introduction to Predictive Modeling and caret.
• On Tuesday, October 4th I'm giving a talk at the Cambridge RUG on tuning hyperparameters using optimization algorithms. This is an extension of this blog post.
• Finally, on Wednesday (the 5th) at the fantastic Nonclinical Statistics Conference, I'll be speaking on Statistical Mediation in Early Discovery by Bayesian Analysis and Visualization. The banner image above is from this talk. Lots of priors and shiny apps.

DataCamp Course

Zachary Deane-Mayer, who collaborates on caret, has put together a DataCamp course on Machine Learning in R.

Zach and DataCamp did a great job of developing a course that is just right for people who are relatively new to R.

The really cool thing about the course is that their system lets you execute the R code as the instructors walk you through it (on their system). If you are taking the class on your work machine and can’t easily get R, this takes all the burden of getting an install together. You can just focus on the code and the reasons why you might approach a problem in that way.

(Disclosure: I contributed some videos to the course but I don't make any money from it or DataCamp)