About
My work sits where first-principles physics meets agentic AI. At Nanoacademic Technologies I developed LatticeMind with the team there, an AI assistant that helps researchers turn plain-language goals into validated density functional theory workflows. I also use first-principles methods to study band alignment in strained silicon-germanium heterostructures, a material system used for silicon spin qubits.
This research was published in Semiconductor Science and Technology, with Prof. Hong Guo and colleagues at Nanoacademic, and I was glad to present it at the APS Global Physics Summit and the Silicon Quantum Electronics Workshop. I completed a Bachelor of Science at McGill University in June 2026 and am continuing with a thesis-based M.Sc. in Physics under Prof. Guo's supervision, while working as a teaching assistant in the department.
I also founded Eternal Gardens, where I look after product and engineering. The aim is simple: to give people AI characters that can carry their knowledge, work and stories, and answer questions when they cannot. In both areas I try to start from first principles, build carefully, and check the result against the real world.
Beyond the work
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Draws intricate pen cityscapes and treesLong, patient pen drawings where precision and patience mirror the way I work through a physics problem.
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Thinks about how cities shape peopleUrban planning is a standing interest: how streets, density and public space change the way people live and meet.
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Learns from films, anime and world-buildingStorytelling, visual composition and invented worlds are a steady source of ideas for the environments I build.