I am a sixth year PhD graduate student in the Database Group at the Paul G Allen School for Computer Science and Engineering at the University of Washington in Seattle. I am currently advised by Dan Suciu and Magdalena Balazinska. I will graduate in August of 2019 and take a postdoc at a university TBA.
For my undergraduate degree, I went to Carleton College in Northfield, MN, where the city's motto is "Cows, Colleges, and Contentment" and graduated in 2013 as a Computer Science and Mathematics double major.
My research interests are primarily focused on building an Open World Database System that inherently treats relations as biased samples of some unknown population and by some population aggregate information, automatically corrects of sample selection bias. I am also interested in how to generate a query-able summary of data that can the be used for running ad-hoc, exploratory, and approximate queries. My other broad research interests include Machine Learning and Data Visualization
I am one of the 2015 winners of the NSF GRFP in Computer Science. In the summer of 2016 and 2017, I interned at Microsoft Research as a PhD research intern, and in the summer of 2015, I interned at Tableau as a software developer. From the summer of 2012 to the spring of 2015, I interned at Sandia National Laboratories working on high performance computing and image reconstruction.
These projects are past or present projects or collaborations.
This is the prototype database system I built for my AQP research using the Principle of Maximum Entropy. If you want to know more, head to the project page here.
This is the Database Group's big data management system. I mainly just help with debugging, but if you want to know more, head to their website.
This work is in collaboration with the Astronomy Department at the University of Washington and aims at helping the astronomers build and visualize galactic merger trees. I and another member of the Database Group, Jennifer Ortiz, worked with the astronomers to build a tool to take raw particle simulation data and generate visualizations of how the particles formed galaxies over time. For more information, go here and scroll down to the MyMergerTree Service section.