About Me

I’m a Master’s student in Computer Science at Brown University, specializing in Visual Computing and AI. I am advised by Dr. James Tompkin, and my current research focuses on dynamic scene reconstruction for rendering. I am concurrently working on using language embeddings to supervise motion in dynamic scenes for reconstruction.

My primary interests lie in Computer Vision and Graphics, with a focus on Inverse Rendering via Neural Fields, including NeRFs and Gaussian Splatting.

I am packing my bags and moving to San Fransisco this Summer - Seeking internship opportunities in Vision, Graphics, AI or anywhere i get to write a shit ton of C++ code!

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Experience

2025

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Graduate Researcher : Dynamic Gaussian Splatting & NeRFs Novel View Synthesis for Dynamic Scenes

2024

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Research Intern : Augmented Gaussian Splatting & NeRFs Conducted ablation studies FSGS - Real-Time Few-Shot View Synthesis using Gaussian Splatting to calculate the efficiency of priors used in the paper and researched on effects of augemented networks in NeRFs & Gaussian Splatting

2023

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Research Intern : Integrated NeRF-Capture into Zip-NeRF Integrated NeRFCapture, an app that use Apple's ARKit to computer poses of photos simultaneously as they captured, into the (unofficial) Zip-NeRF pipeline to study accuracy of pre-computed poses over COLMAP and attempting to reduce entire pre-processing time to over 50%.

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Projects

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Template Credits : Matias Turkulainen