MASc at the University of British Columbia (QSAR group), where I am working with Olivia Di Matteo to enable particle physics simulations on quantum computers. I learned quantum computing from Joseph Salfi, Daochen Wang and Gordon Walter Semenoff. I took machine learning from Jeff Clune and Mark Schmidt, and deep learning from Renjie Liao. I remain an advisor and advocate for Verdi Expeditions .

The founding researcher of Verdi Expeditions, where I led the development of the world's first variable-rate drip irrigation (VRDI) system. My engineering activities spanned from low-power electronics, firmware for maximizing utility, network for supporting large deployments, and medium-scale manufacturing, to data analysis and system modeling. The goal is to enable computation on farms at all levels, be it hardware, edge or cloud. We went through the Alchemist Accelerator, were semi-finalists at TechCrunch Disrupt, and save over 30 million liters of water annually. We've since expanded into a climate-adaptation platform.
If you can help us, please reach out. The world needs this technology.

BASc at the University of British Columbia, where I majored in Electrical Engineering and minored in Physics. Got interested in computation & physics (as separate subjects). Explored these topics through 3 internships: UBC System-on-a-Chip Lab, Intel NSG (now Solidigm), and Delta-Q. I made a 50x cheaper-than-off-the-shelf microfluidic flowsensor for the UBC BioMEMS Lab using optimization algorithms and the behaviour of heat + microscale fluids. Other notables: built my first turing-complete cpu and ran my first (tridiagonal) physics simulation.