I recently finished my PhD at the RISE Lab and I School at UC Berkeley, working with Professor Aditya Parameswaran.
The focus of my dissertation is to make data exploration and visualization easier and more accessible through automation. During my PhD, I developed several data science tools aimed at accelerating insight discovery, including , a Python library for accelerating and simplifying the process of data exploration. In 2020, I was awarded the Facebook PhD Fellowship in Systems for Machine Learning.
Before this, I was at the computer science department at the University of Illinois, Urbana-Champaign. I received my Bachelor's degree in physics and astrophysics from UC Berkeley in 2016.
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![]() Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study
[PDF]
IEEE Transactions on Visualization and Computer Graphics |
![]() You can't always sketch what you want: Understanding Sensemaking in Visual Query SystemsIEEE Visual Analytics Science & Technology (TVCG Track at VAST'19 at VIS) |
![]() Avoiding Drill-down Fallacies with VisPilot: Assisted Exploration of Data SubsetsACM Intelligent User Interface (IUI) 2019 |
![]() The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration
[PDF]
IEEE Data Bulletin 2018 |