Zongheng Yang

Current favorite coffee shop: Coffee Collective, Copenhagen

I'm a first-year PhD student in Berkeley's RISELab. My interests are broadly in computer systems & systems support for emerging ML workloads.

In my previous life, I worked at Google Brain (TensorFlow & deep learning models; 2016-2017), Databricks (intern; 2014), and Twitter (intern; 2013).

I received my Bachelors in CS and in math from UC Berkeley in Dec '15. During my undergrad, I worked on various big data systems in the AMPLab.

Publications

Selected Projects

  • TensorFlow: my public work at Google Brain included working on TensorFlow. One of my contributions is a new checkpoint format with much better efficiency.
  • Succinct/ZipG: a data store that queries directly on compressed files. I worked on ZipG, a distributed graph store on top that focuses on memory-efficiency.
  • SparkR: an R front-end for Apache Spark. Talk: SparkR: Enabling Interactive Data Science at Scale. Spark Summit, June 2014, San Francisco.
  • Apache Spark: I was a Spark contributor, mostly on Spark SQL.