Informatics Skunkworks

Participants in Research or the ML4ER Intro course are eligible to enroll in MSE 401 for 2 credits!
Please join MSE 401 under Prof. Morgan’s section.

We ask that those participating in Skunkworks activities sign up for 2 credits in MSE 401. This helps create an official record of your efforts for yourself and the campus, as well as helping show the impact of the Skunkworks program.  The course does not meet and does not involve any extra commitment beyond your otherwise planned activities. If there is any reason you do not wish to take credits this course enrollment is not required.

If you do wish to enroll email Benjamin Afflerbach bafflerbach@wisc.edu who will initiate opening the course for you and include your campus ID number (wiscard number). You can generally enroll about 72 h after emailing Ben.

“Introduction to Machine Learning For Engineering Research” (ML4ER) is a semester long course taught in the Spring and Fall semesters to serve as an introduction for anyone interested in participating in research related to informatics for engineering, but are currently lacking some of the technical skills and background to jump directly into participation on a research project.

We’ll be starting up with Weekly meetings for the course the week of Sept. 18th. Please email Ben Afflerbach (bafflerbach@wisc.edu) or message on Slack to join!

For more information see the course page here

Research Projects for the Spring semester are kicking off now! For a list of active projects and to see which are still recruiting take a look at the projects page!

Projects are filling up and will mostly be getting started the week of Sept. 18th.

If you’re interested in participating you can either reach out the listed project mentor or Ben Afflerbach (bafflerbach@wisc.edu) for more information and to get included. Please also submit the Application Form so that we can keep track of students.

The informatics help-desk is a NSF supported service to help solve technical issues and streamline research in materials and chemistry informatics. We have experts in data science application to materials and chemistry informatics who would love to help answer any questions you have. No question is too basic and we will do our best with really hard questions. We are open to everyone!

Please see the help-desk website for details. We want to make the research experience more enjoyable by spending less time stuck on bugs and software issues and more time on the exciting parts of informatics research!

We will also use these times to discuss specific projects and help students match with a project.

Participants in Research or the ML4ER Intro course are eligible to enroll in MSE 401 for 2 credits!
Please join MSE 401 under Prof. Morgan’s section.

We ask that those participating in Skunkworks activities sign up for 2 credits in MSE 401. This helps create an official record of your efforts for yourself and the campus, as well as helping show the impact of the Skunkworks program.  The course does not meet and does not involve any extra commitment beyond your otherwise planned activities. If there is any reason you do not wish to take credits this course enrollment is not required.

If you do wish to enroll email Benjamin Afflerbach bafflerbach@wisc.edu who will initiate opening the course for you and include your campus ID number (wiscard number). You can generally enroll about 72 h after emailing Ben.

“Introduction to Machine Learning For Engineering Research” (ML4ER) is a semester long course taught in the Spring and Fall semesters to serve as an introduction for anyone interested in participating in research related to informatics for engineering, but are currently lacking some of the technical skills and background to jump directly into participation on a research project.

We’ll be starting up with Weekly meetings for the course the week of Sept. 18th. Please email Ben Afflerbach (bafflerbach@wisc.edu) or message on Slack to join!

For more information see the course page here

Research Projects for the Spring semester are kicking off now! For a list of active projects and to see which are still recruiting take a look at the projects page!

Projects are filling up and will mostly be getting started the week of Sept. 18th.

If you’re interested in participating you can either reach out the listed project mentor or Ben Afflerbach (bafflerbach@wisc.edu) for more information and to get included. Please also submit the Application Form so that we can keep track of students.

The informatics help-desk is a NSF supported service to help solve technical issues and streamline research in materials and chemistry informatics. We have experts in data science application to materials and chemistry informatics who would love to help answer any questions you have. No question is too basic and we will do our best with really hard questions. We are open to everyone!

Please see the help-desk website for details. We want to make the research experience more enjoyable by spending less time stuck on bugs and software issues and more time on the exciting parts of informatics research!

We will also use these times to discuss specific projects and help students match with a project.