See slides from our kickoff meeting here.
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Citrine profiles Skunkworks member Vanessa Meschke
This week Citrine, LLC profiled Vanessa Meschke, one of their 2017 NextGen Fellows. Check out the profile here.
Informatics Skunkworks Selected as Finalist in the 2017 Wisconsin Innovation Awards
Here is Ben describing the Skunkworks for the WIA video Here are Tam and Vanessa at the WIA ceremony We are very grateful to all the supporters of innovation in Wisconsin for their …
Brent Krueger Works with Skunkworks for Cutting Edge Class at Hope College
Brent Krueger, a Professor of Chemistry at Hope College, has helped develop and teach Chem 195: Chemical Modeling Using Python, which integrates cross-disciplinary cutting edge software and machine learning into the Hope College undergraduate curriculum. …
Many Awards for Skunkworks Member Zach Jensen
See this news story detailing some of Zach’s recent awards and overall stellar accomplishments. Great work Zach!
Informatics Skunkworks 2nd All-Hands Meeting Saturday Dec. 3, 2016
Informatics Skunkworks 2nd All-Hands Meeting Saturday December 3, 2016 10am-1:30pm, Room ERB 1307 UW Madison All names are listed alphabetically. 10am Welcome, Coffee, Introductory Remarks, Dane Morgan 10:15am Predicting Melting Temperature of Alloys (Chance …
Great Turnout for Skunkworks Q&A Information Session
We had approaching 40 people for todays Informatics Skunkworks Q&A Information Session. Very exciting. Thanks to all who turned out to learn more and show their support! See below the presentation on the skunkworks and …
Skunkworks to host Fall 2016 Q&A
Anyone interested in what the group does and how we work is welcome to enjoy pizza and drinks in MS&E 221 from 4-5pm on Tuesday, September 6th. Our members will be present to answer any …
Skunkworks Poster at Educational Innovation Showcase (2015-04-22)
We unfortunately cannot share this poster online due to its containing significant unpublished data.
Skunkworks Poster at RM2N Meeting in Milwaukee (2016-05-02)
We unfortunately cannot share this poster online due to its containing significant unpublished data.