Join renowned technologist and Stanford lecturer Timothy Chou as he explores the future of artificial intelligence, distributed systems, and cutting-edge innovation in the Distributed AI Podcast. Each episode features in-depth conversations with industry pioneers, academic experts, and visionary entrepreneurs shaping the decentralized AI landscape. From federated learning and privacy-preserving AI to revolutionary applications in healthcare, finance, and beyond, this podcast dives into the technical challenges and transformative opportunities driving the AI revolution.
Notable guests include leaders like Andrew Wheeler from HP Labs on next-generation AI infrastructure, Hina Dixit of Decomp Compute on democratizing AI tools, and Prashant Shah from Intel on scaling federated learning with confidential computing. The podcast also highlights the contributions of forward-thinkers like Nic Lane of Flower Labs, who explores the potential of distributed AI to harness untapped global data, and Dr. Berivan Isik of Google, whose work on efficient and trustworthy machine learning is setting new standards.
Whether you're an AI enthusiast, developer, or executive looking to leverage the power of distributed intelligence, this podcast provides the insights and inspiration to navigate this dynamic field. Tune in to discover how distributed AI is reshaping industries and building a more connected, privacy-centric future.
E12: Rene Haas on ARM, AI Infrastructure, and the Future of Computing
Rene Haas, CEO of ARM, joins Timothy Chou to discuss how ARM has become a foundational architecture for cloud, edge, and AI computing. He explains the shift from x86 dominance to ARM-based CPUs in hyperscale data centers, the rise of agentic workloads, the future of AI at the edge, and why he believes health care may become AI’s most important application. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.
1 Jul 2026
E11: Accelerating Parkinson’s Disease Drug Development with Federated Learning Approaches with Dr Graham Jones
In this episode of the Distributed AI Podcast, Timothy Chou speaks with Dr. Graham Jones of Novartis about how federated learning and digital biomarkers could transform drug development for Parkinson’s disease. The conversation explores the origins of a landmark Nature paper, the challenges of sharing data across pharma, foundations, and academia, and a long-term vision for using home-based, longitudinal data to accelerate discovery, improve clinical trials, and bring meaningful therapies to ...
1 Jul 2026
E10: Scaling Federated Learning: From Research to Real-World Distributed AI with George Jeno
In this episode of the Distributed AI Podcast, Timothy Chou speaks with George Jeno, co-founder of TieSet, about his journey from academic research to building scalable federated learning infrastructure. The conversation explores the challenges of moving federated learning from theory into production, architectural approaches to large-scale distributed AI, and real-world applications in manufacturing, automotive, and beyond—highlighting how decentralized models can efficiently learn from mass...
25 Jun 2025
E9: Federated Learning in Practice: Markus Bujotzek on Real-World AI for Radiology
Markus Bujotzek, a PhD student, discusses federated learning's practical application in radiology with host Timothy, highlighting its potential to overcome organizational, legal, and infrastructural challenges in healthcare; this is an interview.
25 Jun 2025
E8: Dr. Oliver Salana on Swarm Learning and Decentralized AI in Medicine
Dr. Oliver Salana discusses swarm learning and decentralized AI's impact on medicine with Timothy, highlighting breakthroughs in model training and federated AI deployment in healthcare in this interview.
22 Jan 2025
An Introduction to the Distributed AI Podcast
Listen to Dr Timothy Chou introduce us to the Distributed AI Podcast presented by BevelCloud. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.
15 Jan 2025
E3: Federated Learning and Privacy in Machine Learning
In this insightful episode of the dAI Podcast, host Timothy Chou interviews Hugo Song, Product Manager at Google Research, to discuss the transformative power of Federated Learning and its role in advancing privacy and utility in machine learning. Hugo shares his journey from programming with Visual Basic in high school to working on cutting-edge AI technologies at Google. The conversation delves into the challenges of balancing data privacy with model performance, the application of Federate...
15 Jan 2025
E6: Democratizing AI Infrastructure
Our guest Hina Dixit, co-founder and CEO of Decomp Compute, discusses her journey from leading investments at Microsoft’s M12 and Samsung Next to founding a company that aims to revolutionize AI infrastructure. Hina shares insights into the challenges of heterogeneity in AI compute, the inspiration behind her patented fine-tuning technique LaserTune, and her vision for empowering businesses to build personalized, scalable AI solutions. Tune in to explore the future of AI democratization, from...
15 Jan 2025
E7: Future of AI, Distributed Computing, and Innovation at Hewlett Packard Labs
In this episode of the Distributed AI Podcast, host Timothy Chou sits down with Andrew Wheeler, Director of Hewlett Packard Labs, to explore the forefront of AI and distributed computing. They discuss HPE’s advancements in AI supercomputing, distributed AI workflows, and the transformative potential of Swarm Learning in industries like healthcare. Andrew shares insights into Hewlett Packard Labs’ focus areas, including energy-efficient architectures, quantum computing integration, and AI’s ro...
15 Jan 2025
E5: Efficient and Trustworthy AI
In this episode of the Distributed AI Podcast, Timothy Chou sits down with Dr. Berivan Isik, a recent Ph.D. graduate from Stanford University and a research scientist at Google. Dr. Isik shares her journey from Turkey to Stanford, her pioneering work on federated learning, and her focus on efficient and trustworthy AI. The conversation delves into her Ph.D. thesis on improving communication efficiency in federated learning, her innovative approaches to model sparsification and quantization, a...
15 Jan 2025
E4: Unlocking the Future of Distributed AI and Federated Learning
In this episode of the Distributed AI Podcast, Timothy Chou sits down with Matt Siegel, Co-Founder of BitFount and former leader of the Private Federated Learning team at Apple. Together, they explore the transformative power of Federated Learning, its role in preserving data privacy, and its applications across industries like healthcare and life sciences. Matt shares insights into his journey from academia to Apple, the challenges of deploying AI models in real-world settings, and the visio...
24 Oct 2024
E1: Protecting Privacy in AI: Prashant Shah on Confidential Computing and Federated Learning
Our guest Prashant Shah, Chief Technology Officer of Federated Machine Learning at Intel, discusses the transformative power of Federated learning and confidential computing in healthcare. He explores how these technologies enable secure collaboration on sensitive healthcare data, driving innovation while ensuring patient privacy. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.
24 Oct 2024
E2: Scaling AI with Federated Learning: Insights from Dr. Nic Lane
Our guest Dr. Nic Lane, co-founder of Flower Labs and professor at Cambridge, discusses the growing role of Federated learning in AI. He explains how distributed AI can unlock vast amounts of data while ensuring privacy, and how it will play a critical role in scaling AI models across industries such as healthcare and finance. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.
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