Remy Wang

wishtree

I'm a PhD student at uwdb and uwplse advised by Dan Suciu. I optimize large scale machine learning code by exploiting the connection between linear algebra and relation algebra.

Before coming to Seattle, I was extremely lucky to work with Professor Kathleen Fisher and Diogenes Nunez at Tufts. They lead me into research and convinced me to keep doing it. Even before that, Professor Norman Ramsey taught me almost everything I knew about programming using How to Design Programs.

After I left the East Coast, my counterpart continues to conduct interdisciplinary studies in a great environment.

You can reach me via email, or find me in the plse lab (Gates 253).

dissonance