I work at the
Future Data Systems lab at Stanford as a postdoc, advised by
Matei Zaharia and
Peter Bailis.
My research interests are in Systems for Sustainability, Data Science, and AI. My current research spans a range of topics: scalable and efficient systems for machine learning, query systems for data collected by autonomous vehicles, and PV+battery system design and control.
I'm also a co-host of the weekly
Stanford MLSys Seminar series; catch us
live Thursdays at 1:30 pm Pacific!
I completed my PhD in Computer Science at the University of Waterloo under the guidance of
Srinivasan Keshav and
Catherine Rosenberg at the
ISS4E lab. I modelled and optimized energy storage systems, with a focus on renewable energy sources and behind-the-meter applications. Results include new algorithms for operating and sizing PV+storage systems, a framework for solar farm operators to allocate budget between PV panels and batteries to maximize revenue, and tractable models for Lithium-ion batteries for optimization and
simulation. My work was recognized through the
2020 SCS Cheriton Dissertation award and featured on
ACM TechNews.
I'm keen on interdisciplinary work, and have had the pleasure of working with academics from power systems, economics, optimization, and electrochemistry disciplines.
In my free time, I train and compete internationally as a member of Canada's national beach volleyball team.