technology for humans.™

I am passionate about the intersection of machine learning and 3D technology. I recently completed my BSc in Machine Learning at the University of Edinburgh, with a research focus on applying ML to visual and audio domains. Currently, I am pursuing a research master's or PhD in this area.

My recent work includes exploring the application of ML in 3D reconstruction. For my dissertation, I enhanced the Gaussian splatting training algorithm to support out-of-core training, enabling the reconstruction of massive datasets. I am now working on formalizing this research into a publication.

Creativity has always been at the core of my journey in computer science. I started by experimenting with music and video processing, and I enjoy making the ML process tangible and presentable. As a hobby, I combine my research interests with media arts, creating interactive installations and hosting exhibitions.

Beyond the creative process, I am dedicated to rigorously learning and applying ML and CS. I have self-initiated learning experiences in autoregressive transformer models, diffusion image generation models, and robotics with ROS, among others.

Currently, I am gaining industry experience as an intern at Autodesk Research, where I am excited to learn from talented colleagues and contribute to innovative projects.