Are you grappling with a piece of code, trying to compute on a 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, Mondays – Thursdays, during the Summer 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.
More information: https://datascience.isr.umich.edu/events/coderspaces/

WEEKLY OPPORTUNITIES

Mondays 1:30-3PM
Join via Zoom: https://umich.zoom.us/j/97155787515
with Andrew Hlynka (CSCAR), Charles Antonelli (LSA Tech), Jonathan Golob (Michigan Medicine)
Expertise: 3D graphical applications, C, C++, C#, CMake/GNU Make, Fortran, Git, high performance computing, Java, JavaScript, Julia, Matlab, mobile app development, MPI, OpenMP, parallelization, performance analysis, PBS, Python, R, reproducible workflows (nextflow), shell, Slurm, SQL, statistical modeling

Tuesdays 2-3:30PM
Join via Zoom: https://umich.zoom.us/j/99832397131
with Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Paul Schulz (PDHP/ISR)
Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, high performance computing, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping

Wednesdays 2-3:30PM
Join via Zoom: https://umich.zoom.us/j/96392817699
with Armand Burks (ARC/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)
Expertise: automation of tasks and workflows, bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)

Thursdays 2-3:30PM
Join via Zoom: https://umich.zoom.us/j/99436245948
with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)
Expertise: Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling