TL;DR (one-page resume)
TL;DR (CV)

I am a Research Engineer at Adobe Research based in Seattle, working on geometry- and physics-related research and tools. I have worked in and published papers in the fields of geometric deep learning, geometry optimization, and physics-based simulation of all kinds of materials (solids, fluids, waves, cloth, hair, friction/contact, deformable bodies, plasticity, visco-elasto-plasticity, and fracture/damage). I like to build powerful math into robust engineering solutions for everything in computer graphics and their GenAI models. At the moment, I find myself particularly excited about Geometric Measure Theory and its boundless applications in implicit geometry representations.

My academic background includes postdoc at UCSD with mentor Prof. Albert Chern, PhD in Math from UCLA with advisor Prof. Joseph Teran, and BS in Math from NTU.

I served in the following organizations: Women in Math at UCLA.
UCLA Math Grad Student Organization.
UCLA Math and Physical Sciences Council.
UCLA Grad Student Association.
In 2017, I created the UCLA Women In Math Mentorship Program to strengthen the community and encourage connections between undergraduate and graduate women in math.

I spend most of my free time hiking (see my Via Alpina experience) and cooking (see my little cooking blog). WiGRAPH featured me in an interview, and you can find out more about me there.

Publications and Preprints

Exterior Calculus in Graphics

Stephanie Wang, Mohammad Sina Nabizadeh, Albert Chern
SIGGRAPH ‘23: ACM SIGGRAPH 2023 Courses Visit project page for abstract, course notes, and SIGGRAPH 2023 presentation info!

Physical Cyclic Animations

Shiyang Jia, Stephanie Wang, Tzu-Mao Li, Albert Chern
Proceedings of the ACM on Computer Graphics and Interactive Techniques (SCA 2023) Paper (pdf) Video (YouTube)

Wave Simulations in Infinite Spacetime

Chad McKell, Mohammad Sina Nabizadeh, Stephanie Wang, Albert Chern
Preprint (arXiv pdf)

Fluid Cohomology

Hang Yin, Mohammad Sina Nabizadeh, Baichuan Wu, Stephanie Wang, Albert Chern
ACM Transactions on Graphics (SIGGRAPH 2023)
Paper (pdf) Video (YouTube)
Source code (Houdini and C++)

Covector Fluids

Mohammad Sina Nabizadeh, Stephanie Wang, Ravi Ramamoorthi, Albert Chern
ACM Transactions on Graphics (SIGGRAPH 2022)
Paper (pdf) Video (YouTube)
Source code (C++)

DeepCurrents: Learning Implicit Representations of Shapes with Boundaries

David Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
Paper (pdf) CVPR talk (YouTube)
Source code (GitHub repo)

Role detection in bicycle-sharing networks using multilayer stochastic block models

Jane Carlen, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang, Mason A. Porter
Network Science, 2022
Cambridge Core Link

Computational micromechanics of porous brittle solids

Lars Blatny, Henning Löwe, Stephanie Wang, Johan Gaume
Computers and Geotechnics, 2021
Science Direct link

Computing minimal surfaces with differential forms

Stephanie Wang and Albert Chern
ACM Transactions on Graphics (SIGGRAPH 2021)
Paper (pdf) Video (Vimeo) SIGGRAPH talk (Vimeo)
Source code (GitHub repo) Houdini Demo (Vimeo)

A Material Point Method for Elastoplasticity with Ductile Fracture and Frictional Contact

Stephanie Wang Doctoral Dissertation, University of California–Los Angeles, 2020. (ProQuest link)

A thermomechanical material point method for baking and cooking

Mengyuan Ding, Xuchen Han, Stephanie Wang, Theodore F. Gast, Joseph M. Teran
ACM Transactions on Graphics (SIGGRAPH Asia 2019)
Paper (pdf) Video (YouTube) Tech Doc (pdf)

Simulation and Visualization of Ductile Fracture with the Material Point Method

Stephanie Wang, Mengyuan Ding, Theodore F. Gast, Leyi Zhu, Steven Gagniere, Chenfanfu Jiang, Joseph M. Teran
Proceedings of the ACM on Computer Graphics and Interactive Techniques (SCA 2019) (Best Paper Awardee)
Paper (pdf) Video (YouTube)(Vimeo) Tech Doc (pdf)

Hybrid Material Point Method for Frictional Contact with Diverse Materials

Xuchen Han, Theodore F. Gast, Qi Guo, Stephanie Wang, Chenfanfu Jiang, Joseph Teran
Proceedings of the ACM on Computer Graphics and Interactive Techniques (SCA 2019)
Paper (pdf) Video (YouTube) Tech Doc (pdf)

Invited Talks

Capturing Surfaces using Differential Forms
Feb 16th, 2022 NCSU (virtual)
Nov 29th, 2021 MIT CSAIL (in-person in Cambridge, Massachusetts)
Nov 22nd, 2021 Autodesk (virtual)
Nov 16th, 2021 Online Seminar Geometric Analysis (virtual)
Oct 1st, 2021, Toronto Geometry Colloquium (full content available on YouTube)
Sep 24th, 2021, Geometry Workshop in Obergurgl (in-person in Obergurgl, Austria)
Apr 23rd, 2021, UCSD Pixel Cafe (virtual)
Jan 12th, 2021, UCSD CCoM (virtual)
Dec 15th, 2020, CMU Graphics Lab (virtual)
Slides (pdf, updated Oct 1, 2021) Slides (pdf, updated Apr 23, 2021)

Simulation and Visualization of Ductile Fracture with the Material Point Method
May 7th, 2020, GAMES Webinar (virtual)
November 4th, 2019, College of the Holy Cross (virtual)
August 28th, 2019, ETH Zurich
September 9th, 2019, Inria Grenoble
Slides (pdf)