Research
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
A set of Databricks and Azure notebook scripts that compute urban heat island effects for all major cities in the United States. Daily indices for each city are computed from January 1, 2008 to present…
Episode 73, April 24, 2019 – In the world of relational databases, structured query language, or SQL, has long been King of the Queries, primarily because of its ubiquity and unparalleled performance. But many users…
Modern applications must collect and store massive amounts of data. Cloud storage offers these applications simplicity: the abstraction of a failure-free, perfectly scalable black-box. While appealing, offloading data to the cloud is not without challenges.…
Froid is an extensible, language-agnostic framework for optimizing imperative functions in databases. The purpose of Froid is to enable developers to use the abstraction of UDFs without compromising on performance.
Making sense of large and complex data requires methods that integrate human judgment and domain expertise with modern data processing systems. To meet this challenge, my work combines methods from visualization, data management, human-computer interaction,…
Researchers from Microsoft and the University of Washington have demonstrated the first fully automated system to store and retrieve data in manufactured DNA — a key step in moving the technology out of the research…
What started as a one-day conference organized by Stanford University in 2015, Women in Data Science (WiDS) has blossomed into a movement bringing together women data scientists and aspiring data scientists via a series of…
