CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am)

CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am)

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 and Thursdays, during the Summer 2022 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* (
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows