Doris Xin
Google Scholar _d0rx_ dorx

I'm a final-year PhD student in Computer Science at UC Berkeley, advised by Professor Aditya Parameswaran. My research focuses on developing software solutions for facilitating machine learning and data analytics. I developed Helix to accelerate machine learning model development through intelligent materialization and reuse of intermediate results.


Our paper “Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities” has been accepted at SIGMOD ‘21!

Our paper “Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows” (pre-print) has been accepted at CHI ‘21!

Our vision for the future of dataframe research has been presented at VLDB ‘20 by Devin Petersohn. Paper: Towards Scalable Dataframe Systems. Video.

Our work titled “Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development” has been accepted as a full paper and will be presented virtually at HILDA 2020.