Update: Watch a professionally captioned recording of this session. You can also watch the recording with audio descriptions.
Join us on Friday, July 14, for a virtual discussion about UW–Madison’s contributions to artificial intelligence and accessibility featuring Xiaojin “Jerry” Zhu, computer science theorist and professor, and Christopher Endemann, data science facilitator and leader of UW’s machine learning community of practice.
This is the 4th installment in our webinar series about AI. You can learn more about the series, catch up on past seminars, and see what we have planned next on our “Exploring Artificial Intelligence @ UW–Madison” page.
From Breakthroughs to Empowerment: UW–Madison’s AI Contributions & Accessibility
- Date: Fri, Jul 14
- Time: 9:15am to 10am Central Time
- Location: Zoom
- Cost: Free
Add this event to your calendar
This virtual event will be captioned live. Please email us if you need additional accommodations to participate. We will share a professionally captioned video recording and any presented materials and resources on this page the week after the webinar.
About the speakers
Christopher Endemann
Chris Endemann is a data science facilitator at UW–Madison, where he consults and teaches computationally focused workshops that empower researchers to reproducibly analyze, model and gain insights from data. He also leads ML+X, a campuswide machine learning community of practice that provides a space for beginners and experienced practitioners to advance their knowledge, share resources, and collaborate on research projects. While earning his BS in neurobiology and psychology at UW–Madison, Endemann co-founded and led the Artificial Intelligence Club on campus, which offers students opportunities to study and apply machine learning models with their peers.
Xiaojin “Jerry” Zhu
Jerry Zhu, Ph.D., is a computer science theorist and professor in the Department of Computer Sciences, where he researches machine learning with a focus on machine teaching and adversarial sequential decision-making. His research team has invented new machine-learning methods for optimal teaching, topological data analysis, semi-supervised learning and active learning. His team has also discovered computational models behind interesting human behaviors and analyzed social media for social good. He is also part of a team of UW professors leading the development of a tool called FairSquare, which aims to detect bias and employ automated solutions to mitigate it in decision-making algorithms.
Student panelists
 Salsabil Arabi is a Ph.D. candidate studying data science, machine learning and data visualization at The Information School. |
 Ben Rush, Ph.D., is a postdoctoral associate with UW’s Data Science Hub, where he works to determine antibiotic resistance in bacteria by analyzing images and genomes using AI. |
 Meg Taylor is a Ph.D. candidate studying structural and computational biology and quantitative biosciences in the Biophysics Department. |
About the series
The “Exploring Artificial Intelligence @ UW–Madison” webinar series will run from June to September 2023, featuring webinars exploring a wide range of perspectives and topics relating to the rapidly advancing field of generative AI.
Sponsored by the university’s Division of Information Technology and Data Science Institute, the series aims to provide a platform for experts and visionaries in the field of AI to share their insights, research and experiences in the classroom, research lab and wider academic community.
By delving into topics such as AI ethics, cutting-edge machine learning algorithms, automation and human-machine collaboration, we hope to foster a deeper understanding of AI’s transformative potential and its implications for higher education.