Alon Y. Halevy
Affiliate Professor, Computer Science and Engineering
(was Alon Levy until 2000)

Welcome Bio Presentations Awards Entrepreneurial Activities Students Teaching

As of August, 2019, I'm a Director at Facebook AI in Menlo Park, California.

I was the CEO of Megagon Labs from November 2015 until December 2018. Prior to Megagon, I headed the Structured Data Group of Google Research in Mountain View, California for a decade (here are a few thoughts about that decade). I joined Google in 2005 with the acquisition of my company, Transformic. Prior to that, I was a professor of Computer Science at the University of Washington, where I founded the UW CSE Database Group in 1998. You can follow me on Twitter for more (un)frequent updates. In the past, I used to blog and maybe I'll return to it some day.

My Google Scholar author page

My most recent thoughts (March, 2019) are about the Ubiquity of Subjectivity.

In 2011 I published a book about coffee The Infinite Emotions of Coffee. With tales, photos and data visualizations from 30 countries on 6 continents, the book will introduce you to the amazing world of coffee today. I recommend reading it while drinking a macchiatone, a drink known to be the perfect combination of foamed milk and espresso. (In the meantime, I've changed my preferences and drink either espresso or black coffee brewed with an aeropress.)

The main goals of my work at Google are to make data management tools collaborative and much easier to use, and to leverage the incredible collections of structured data on the Web.

My group is responsible for Google Fusion Tables, a service for managing data in the cloud that focuses on ease of use, collaboration and data integration. Fusion Tables enables users to upload spreadsheets, CSV and KML files and share them with collaborators or with the public. You can easily integrate data from multiple sources (and organizations) and use a collection of visualizations to look at your data. In particular, Fusion Tables is deeply integrated with Google Maps, making it easy to visualize large geographic data sets. To facilitate collaboration, users can conduct fine-grained discussions on the data. You can see some examples of how Fusion Tables is being used. You can interact with Fusion Tables through our UI or our API.

Some other notable projects from my group at Google include our Deep-web crawl and WebTables, the first system to ever collect offer search over the collection of HTML tables on the Web. WebTables was incorporated into Google search and the original 2008 paper on WebTables received the VLDB 2018 10-year Test of Time Award.

Both of these projects are examples of the broader area of research on Dataspace Systems, which provide pay-as-you-go data management based on best-effort services.

In the past I have worked extensively on data integration (and a book on the topic is in preparation), as well as personal information management, XML, query optimization, peer-data management systems, knowledge representation (relevance reasoning and combining Horn rules with Description Logics). In general, I am very interested in the combination of techniques from Artificial Intelligence and Data Management.

In my other free time, you can either see me at the gym under a big pile of weights, running, in a movie cinema, doing some coffee-related activity, or with one of my kids Karina and Kasper.

Search my publications: (My DBLP entry has the complete list. I built this search box as a programming exercise in 2005 and have not updated it much since.)
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