Name: R Google Summer of Code 2024
Start: 2024-03-27T16:30:00-05:00
End: 2024-03-27T18:00:00-05:00

Come join us to learn about the R Project for Statistical Computing's participation in the upcoming [Google Summer of Code]() (R-GSoC)!

This is also an excellent forum for interested candidates to attend and ask questions about project contributions and how to apply to R-GSoC. Two of the R-GSoC program administrators, Toby Hocking and Brian Peterson, will introduce the program and highlight some specific program projects such as the venerable **data.table**. We may also hear from past contributors!

R-GSoC has been a Mentor Organization for 19 consecutive years with CRUG members involved from the very beginning. We note that some very successful R programmers got started contributing to a GSoC project or package, and gained some valuable programming skills during the process. More information on GSoC can be found at <- https://google.github.io/gsocguides/student/.

The contributor application period is from March 18 - April 2nd @ 18:00UTC. You can certainly start working on your proposal now and reach out to organization admins/mentors for feedback. Here's a useful guide for applications <- https://developers.google.com/open-source/gsoc/help/student-advice

We are excited for the R-GSoC event and hopefully we get the opportunity to work with some of you this summer!

**When:**
Wednesday, March 27th, 2024
Doors open at 4:30 pm
Talks are schedule from 5:00 - 6:00pm
Networking after

**Where:**
Online and at Roosevelt University
425 South Wabash Avenue, Chicago, IL
Wabash Building
11th floor,Room # 1111

There will be refreshments, pizza, coding at the post meet-up social down the street where we can continue on the conversation.

**Checkout past events:**
https://www.meetup.com/chicago-r-user-group/

**Checkout our GitLab Repo:**
https://gitlab.com/crug-works

Bryan Rodriguez

Justin Shea

Parfait Gasana

The Chicago R User Group (CRUG)

Chicago R User Group

Technology

Programming in R

Software Development

Deep Learning

Computer Programming

Artificial Intelligence

Predictive Analytics

Machine Learning

Applied Statistics

Open Source

Data Analytics

R Project for Statistical Computing

Quantitative Finance

Data Science using R

Data Science using Python

Statistical Computing

A Berkeley-educated California native, Toby Dylan Hocking received his PhD in mathematics (machine learning) from Ecole Normale
Superiere de Cachan (Paris, France) in 2012. He worked as a postdoc in
Masashi Sugiyama's machine learning lab at Tokyo Tech in 2013, and in
Guillaume Bourque's genomics lab in McGill University, Montreal,
Canada (2014-2018). Since 2018 he is Assistant Professor at Northern
Arizona University, where he directs the Machine Learning Research
Lab. He has authored dozens of R packages, and has published 50+
peer-reviewed research papers on machine learning and statistical
software. He has mentored 30+ students in research projects, as well
as another **30+ open-source software contributors with R Project in**
**Google Summer of Code.**

Brian Peterson acts as **an organization administrator for R's participation in the prestigious annual Google Summer of Code program**. He has more than two decades of experience researching, designing, developing, and deploying production quantitative trading systems. He has been the lead executive for quantitative trading in multiple Chicago proprietary trading firms where his personal assets have been at risk every day. Brian is co-author or maintainer of over 10 packages for using the R statistical language in finance. In addition, Brian has continued to research, publish, and teach. Brian has deep experience delivering large, technically complex production systems utilizing the latest technologies and techniques, including advanced optimization, machine learning and artificial intelligence, low latency execution, and algorithm design, judged directly by their performance in live markets.

Toby Dylan Hocking and Brian Peterson

R Google Summer of Code 2024

Roosevelt University, room WB-1111

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The Chicago R User Group (CRUG)

R Google Summer of Code 2024

The Chicago R User Group (CRUG)

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