I am a machine learning (ML) specialist at Xanadu where I have been developing ML algorithms and approaches to accelerate scientific discovery for quantum photonics and quantum computing.
Previously, I was a research scientist at Orbital Materials where I worked at accelerated materials discovery by developing novel machine learning and quantum chemistry methods to enable an efficient prediction-to-demonstration pipeline.
Before all of this, I completed my PhD from the University of Toronto. My research was interdisciplinary, combining quantum chemistry, machine learning, and quantum computing to accelerate the discovery of materials for energy storage and energy capture. The common thread throughout my PhD journey was bridging the gap between theory and experiments.
This webpage is meant to showcase some of my works and I try to use it as a means to spread science awareness.
If you want to learn more about me and my work, please give the Research and Projects tabs a look.
For the curious souls out there, I definitely recommend checking out the Trivia tab.
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