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.
Our applied machine learning literature survey on How Developers Iterate on Machine Learning Workflows was presented at the KDD IDEA Workshop.
Our work on Active Learning in Heterogeneous Information Networks has been accepted at ICDM 18. See you in Singapore!
Our vision paper Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities was presented at the SIGMOD DEEM Workshop.