Daksh Shah

Daksh Shah

he/him

Computer Science & Mathematics student at UC Santa Cruz. Computer Vision/Graphics and ML engineer and researcher.

Hi there! I’m Daksh

I am looking for research advisors and collaborators for my upcoming graduate work at NYU Courant. If you are a researcher, PhD student, or industry practitioner in 3D CV/Graphics, I would love to share my current preprints and explore how we can work together.

I am an incoming M.S. Computer Science student at NYU Courant, recently graduated from UC Santa Cruz with a double major in Computer Science and Mathematics. My work sits at the intersection of 3D Computer Vision, Computer Graphics, and High-Performance Systems.

I am interested in high-fidelity geometric modeling and neural rendering. Rather than relying on general-purpose generative denoising, my interest lies in building robust, physically grounded 3D reconstructions with clinical and industrial utility.

What I Do

  • Implicit Geometric Modeling: Experienced in developing and optimizing Neural Signed Distance Functions (SDFs) and Neural Attenuation Fields for automated multi-surface reconstruction, particularly for medical imaging applications.

  • Neural Rendering & Spatial Computing: Deeply interested in high-fidelity novel view synthesis and state-of-the-art representation techniques, including 3D Gaussian Splatting and NeRF-based architectures.

  • Accelerated Graphics & ML Infrastructure: I back my theoretical foundation with strong systems implementation. I leverage PyTorch, CUDA, and orchestration tools like Kubernetes and Weights & Biases (WandB) specifically to scale up complex training pipelines and accelerate intensive graphics workloads.

Current Work

I am working on a few research projects at the moment, including:

  • Masked Representation Learning for Neural Signed Distance Fields
  • Multi-Material Neural Attenuation Fields: Developed automated multi-surface reconstruction techniques for high-fidelity medical imaging, optimizing how implicit networks handle density and material boundaries. (Awarded the 2026 UCSC Chancellor’s and Dean’s Awards for Undergraduate Research).

I also have a huge backlog of future research I’ll be tackling in the near future!