About

I'm a Senior Research Scientist in the High Fidelity Physics group at NVIDIA. Before joing NVIDIA, I did my PhD in Computer Science at Carnegie Mellon University, advised by Keenan Crane. I'm broadly interested in developing new algorithms at the intersection of geometry processing, simulation and rendering. My current research explores how core problems in PDE-based geometric computing can be efficiently and reliably solved via grid-free Monte Carlo methods without any volumetric mesh generation, taking inspiration from algorithms for photorealistic rendering. Checkout my PhD thesis for further details.


I received an Nvidia Graduate Fellowship, a Carnegie Mellon Graduate Presidential Fellowship, and an Honorable Mention Best Paper Award at SIGGRAPH for my work on Monte Carlo PDE solvers. I've also received the Symposium on Geometry Processing best software award for the Boundary First Flattening application to quickly and robustly generate UV maps. Previously, I worked at IrisVR, Inc. as a core graphics engineer and received my Bachelor’s in Physics and Computer Science from Columbia University. Find my CV here.

Publications

Walkin’ Robin: Walk on Stars with Robin Boundary Conditions

Miller*, Sawhney*, Crane†, Gkioulekas†

ACM Transactions on Graphics (2024)

Paper

Decorrelating ReSTIR Samplers via MCMC Mutations

Sawhney, Lin, Kettunen, Bitterli, Ramamoorthi, Wyman, Pharr

ACM Transactions on Graphics (2023)

Paper  |  Supplemental  |  Video

Walk on Stars: Grid-Free Monte Carlo for Neumann Boundary Conditions

Sawhney*, Miller*, Gkioulekas†, Crane†

ACM Transactions on Graphics (2023)

Paper  |  Code  |  Tutorial  |  Talk

Boundary Value Caching for Walk on Spheres

Miller*, Sawhney*, Crane†, Gkioulekas†

ACM Transactions on Graphics (2023)

Paper  |  Code  |  Talk

Grid-Free Monte Carlo for PDEs with Spatially Varying Coefficients

Sawhney*, Seyb*, Jarosz†, Crane†

ACM Transactions on Graphics (2022)

Best Paper (Honorable Mention)

Paper  |  Supplemental  |  Code  |  Talk

Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains

Sawhney, Crane

ACM Transactions on Graphics (2020)

Paper  |  Project Page  |  Talk

Boundary First Flattening

Sawhney, Crane

ACM Transactions on Graphics (2018)

SGP Best Software Award (2019)

Paper  |  Project Page  |  Talk  |  Web Demo

Software

Boundary First Flattening

Quick and robust UV mapping

Project Page

geometry-processing-js

3D geometry processing on the web

Project Page

linear-algebra-js

Sparse & dense matrix routines on the web

Project Page

Misc.

Multi Agent Reinforcement Learning

Deep Reinforcement Learning agents playing tag

Report  |  Code

Medial Axis Transform

Undergrad. research project on computing medial axis

Report  |  Code