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Toronto, Canada · University of Toronto
Computer science student and researcher building generative models for how we see, understand, and shape the world.
01 / ABOUT
I’m an Honours BSc candidate in Computer Science with a minor in Mathematics at the University of Toronto. My interests sit at the intersection of machine learning, computer vision, and scientific research—especially generative models and 3D representations.
02 / SELECTED RESEARCH
Current work in remote sensing, scientific machine learning, and generative models.
Studying the internal dynamics of Diffusion Transformers to develop interventions that guide generation. In parallel, I’m building a 3D Gaussian Splatting pipeline for human reposing and running large-scale studies across multi-node Slurm clusters.
Built DDPM and DDIM models to generate synthetic satellite spectra for crop-residue mapping on the FINCH satellite mission. The work was selected for presentation and publication at the 2026 ISPRS Congress.
Led a 10-person team building and testing an Arduino lunar satellite, including C software for sensor data transmission and systems work around power, automation, and deployment constraints.
03 / EXPERIENCE
2026—present
Recipient of a $12,000 U of T Department of Computer Science Research Grant.
2026—present
Leading a team exploring generative approaches to remote sensing.
2025
Developed a thyroid-cancer risk index with a Python Random Forest model; work published in URNCST.
2025
Led a four-person team studying associations between air pollution and Lyme disease.
04 / HIGHLIGHTS
