Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays – Thursdays, during the Fall 2021 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Alexander Gaenko (CSCAR), Armand Burks (ARC/UMSI), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR)

Expertise: Automation of tasks and workflows, bash, C/C++, CMake, data mining and visualization, Fortran, front-end HTML/CSS/JavaScript stack for custom web applications, git, GNU Make, GPUs, High performance computing, inter-lingual software interoperability, Java, Julia, machine learning, natural language processing, parallelization, performance analysis, Perl, Python, R, SAS, shell, secure computing enclaves, SQL, Stata, statistical methods (hypothesis testing, data analysis, modeling, sampling), web scraping