Doris Xin
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I'm a PhD student in Computer Science at UC Berkeley, advised by Professor Aditya Parameswaran. My research focuses on developing software infrastructure solutions for facilitating machine learning and data analytics. Helix is the system solution I have been developing for the last few years to accelerate machine learning model development.

My research interests are inspired by my experience in developing large-scale ML models at LinkedIn prior to grad school. I received a BS in Computer Science from Caltech in 2012 and an MS in Computer Science from University of Illinois at Urbana-Champaign (UIUC) in 2019. I am continuning my PhD studies at UC Berkeley starting August 2019.


VLDB 19: We presented the full research paper on the Helix system that we demo’ed at VLDB 18.

Our vision paper on the data management and HCI challenges underlying AutoML was published in the IEEE Data Engg Bulletin.

Just completed the Illinois I-Corps program today! Thanks to Howard and Harlee for such a great learning experience!

Our full paper on system desgins for Helix has been accepted at VLDB 19!

Helix was demo’ed at VLDB 18 [Demo paper]. More on Helix soon!