Thanks to everyone that was able to attend our first community workshop for the Fall 2021 semester. During the event we discussed several case studies of real world machine learning challenges, and how the lessons …
Posts
Informatics Skunkworks Projects Starting Fall 2021
With the start of the Fall 2021 semester research projects will be getting going in the next couple weeks. Thanks to everyone who attended the information sessions and followup QA sessions over the past week. …
Congratulations to Yuhan Liu for acceptance to Univ. of Chicago Graduate Program
Yuhan Liu, class of’21, will be starting a PhD in Computer Science at University of Chicago in Fall 2021. Congratulations Yuhan!!
Skunkworks talk at the ACS Annual Meeting
Congratulations to Matthew (Matt) Stilwell for his presentation on the Informatics Skunkworks at the annual ACS meeting (full citation below). Matthew D. Stilwell, Anne Lynn Gillian-Daniel, Ben Afflerbach, Wendy Crone, Dane Morgan (2021, April 5-30). …
Thanks to All Skunkworks Participants for Spring 21
Thank you to everyone who worked through all the extra challenges of remote learning to help the Skunkworks have an outstanding experience this Spring 2021. We had over 80 participants and did so much amazing …
Skunkworkers win UW Fellowships
We are very proud of Jodie Ritchie (left) and Stanley Tzeng (right) and for both winning Sophomore Honors Summer Apprenticeship awards from University of Wisconsin, which provide $2,500 for study on machine learning applications …
Congratulations to Skunkworkers for New Paper on Using Machine Learning to Accelerate STEM Modeling
Congratulations to Nick Lawrence, Mingren Shen, Ruiqi Yin, and Cloris Feng for their excellent work on using machine learning to accelerate electron microscopy modeling. The work showed how Generative Adversarial Neural Networks (GANs) could be …
Podcast on skunkworks
Hear Prof. Morgan’s podcast on undergraduate research in materials informatics with the Informatics Skunkworks here, along with other interesting podcasts on materials informatics. This was created with support from the National Science Foundation and its …
Creative Scientific Collaborations using Deep Learning emerge from COVID Disruptions
We are very proud to have been able with work with colleagues are Argonne National Laboratory to team up with some of their staff, whose usual activities were disrupted by COVID-19, in data labeling for …
Active Summer for the Skunkworks
It has been an active summer with the skunkworks, with 9 undergraduates and two graduate students working with us on projects related to automating analysis with medical imaging and assessing errors and domain of applicability …