ACM ByteCast

ACM ByteCast is a podcast series from ACM’s Practitioner Board in which hosts Rashmi Mohan, Bruke Kifle, and Scott Hanselman 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, Rashmi Mohan hosts 2025 ACM Fellow Cynthia Rudin, the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics and Bioinformatics at Duke University, where she leads the Interpretable Machine Learning Lab. Her lab, which seeks to design predictive ML models that people can understand, focuses on areas including healthcare, criminal justice, and energy reliability. Among her honors, she has received the Squirrel Award for Artificial Intelligence from the Association for the Advancement of Artificial Intelligence (AAAI), as well as the IJCAI John McCarthy Award. Rudin was recently named an ACM Fellow for contributions to and leadership in interpretable machine learning and societal applications.

Image of Cynthia Rudin
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Ep86: Cynthia Rudin
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Ep85: Eric Allman
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Ep84: Peter Stone
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Ep83: Monica Bertagnolli
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Ep82: Ray Eitel-Porter
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Ep81: Nicole Forsgren
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Ep79: Dawn Song
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Ep78: Russ Cox

ACM ByteCast Archive

Listen to past ACM ByteCast episodes.

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Please contact hosts Rashmi Mohan, Bruke Kifle, and Scott Hanselman at [email protected].