Dr. Bryan Wilder - ML/Optimization: Decision Making in Social Settings

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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.

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