Jonathan Frankle is the Chief Scientist at MosaicML, which was recently bought by Databricks for $1.3 billion. MosaicML helps customers train generative AI models on their data. Lots of companies are excited about gen AI, and the hope is that their company data and information will be what sets them apart from the competition. In this conversation with Tristan and Julia, Jonathan discusses a potential future where you can train specialized, purpose-built models, the future of MosaicML inside of Databricks, and the importance of responsible AI practices. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.
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Jonathan Frankle
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Chief Scientist - Neural Networks
Databricks
Jonathan Frankle is Chief Scientist (Neural Networks) at Databricks, where he leads the research team to efficiently train neural networks. He joined Databricks through its $1.3B acquisition of MosaicML, where he was a founding member. He earned his PhD at MIT, where he empirically studied how neural networks learn, including the Lottery Ticket Hypothesis, which earned ICLR Best Paper status. He is also noted as a special guest AI/ML expert.
Bio from: Data + AI Summit 2025
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