Tracking the Most Intoxicating Data: A Conversation With Eric LeVine
From Harvard Data Science Review Podcast by Harvard Data Science Review
November 20, 2025 · 38 min · Episode 59
About this episode
This episode explores the intersection of wine, data science, and technology with Eric LeVine, founder of CellarTracker.
Fine wine meets data science in this month’s episode of the Harvard Data Science Review Podcast. Hosts Liberty Vittert Capito and Xiao-Li Meng explore how data, taste, and technology intertwine with Eric LeVine, founder of CellarTracker, the world’s largest community-driven wine database. What began as a personal project for managing a home cellar has evolved into a global platform with millions of users and billions of data points on wines, prices, and human preferences. During the conversation, they unpack the origins of CellarTracker at Microsoft, how big data and machine learning reveal trends in taste and behavior, and the use of AI to predict “Will I like this wine?” They investigate how to find your digital wine twin, data quality and privacy, and how AI could change how we buy, drink, and enjoy wine without losing the human touch. Grab a glass and join us for a thoughtful conversation about curiosity, community, and enjoying life—responsibly. Our guest: Eric LeVine is president and CEO of CellarTracker, the world’s most comprehensive database. Previously he was a group program manager at Microsoft.
People in this episode
Hosts: Liberty Vittert Capito, Xiao-Li Meng
Guest: Eric LeVine
Topics covered
- wine
- data science
- machine learning
- AI
- community
- taste
Keywords
- wine database
- big data
- human preferences
- data quality
- AI predictions
Mentioned in this episode
Organizations: CellarTracker, Microsoft
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