ACM ByteCast Archive
ACM ByteCast is a podcast series from ACM’s Practitioners Board in which hosts Rashmi Mohan and Jessica Bell interview researchers, practitioners and innovators who are at the intersection of computing research and practice. In each monthly episode, guests will share their experiences, the lessons they’ve learned, and their own visions for the future of computing.
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In this episode of ACM ByteCast, Bruke Kifle hosts 2024 ACM Grace Murray Hopper Award recipient Ilias Diakonikolas, Professor at the University of Wisconsin, Madison, where he researches the algorithmic foundations of machine learning and statistics. Ilias received the prestigious award for developing the first efficient algorithms for high-dimensional statistical tasks that are also robust, meaning they perform well even when the data significantly deviates from ideal modelling assumptions. His other honors and recognitions include a Sloan Fellowship, the NSF CAREER Award, the best paper award at NeurIPS 2019, and the IBM Research Pat Goldberg Best Paper Award. He authored a textbook titled Algorithmic High-Dimensional Robust Statistics.
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Please contact hosts Rashmi Mohan, Bruke Kifle, and Scott Hanselman at [email protected].