Dr. Bryan Wilder - ML/Optimization: Decision Making in Social Settings
Failed to add items
Add to basket failed.
Add to Wish List failed.
Remove from Wish List failed.
Follow podcast failed
Unfollow podcast failed
Dr. Bryan Wilder - ML/Optimization: Decision Making in Social Settings
-
Narrated by:
-
By:
About this listen
Bryan Wilder is an Assistant Professor in the Machine Learning Department at CMU. He received a B.S. in computer science at University of Central Florida, and then started a PhD in computer science at the University of Southern California with advisor Milind Tambe, and then they transferred over to Harvard together. His research focuses on AI for equitable data-driven decision making in high-stakes social settings, and integrating methods from machine learning, optimization, and social networks. He has won loads of awards including a Schmidt AI2050 Early Career Fellowship and Siebel Scholar award.
We discuss his project on HIV-prevention, some work on better integrating ML predictions with optimization models that have some uncertainty, and a brief but nice beginner's lesson in robust optimization.
Check it out!