Przemyslaw Musialski
B. Han, C. Qi, P. Musialski, Z. Wei. INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026. arXiv:2604.12084
About
01I am an Associate Professor of Computer Science at New Jersey Institute of Technology, NJ, USA. My research builds geometric structure into generative models for 3D content and design, so that what they produce is controllable and holds up in the real world: it spans geometry processing, shape optimization, digital fabrication, and generative AI.
Before joining NJIT, I was an Assistant Professor at the Institute of Discrete Mathematics and Geometry at Vienna University of Technology (TU Wien), where I also led the Computational Fabrication group at the Center for Geometry and Computational Design (GCD).
From 2023 to 2025, I was a Group Leader at IDEAS NCBR in Warsaw, Poland, where I founded its Computer Graphics Group, and in 2025 a Visiting Professor at the Warsaw University of Technology.
Earlier in my career, I worked as a researcher at the VRVis Research Center for Virtual Reality and Visualization (VRVis) in Vienna, as a postdoctoral scholar at Arizona State University (ASU), as a postdoctoral associate in the Computer Graphics Group at TU Wien, and as a visiting research scientist at King Abdullah University of Science and Technology (KAUST).
I received my MSc in Media Systems Science in 2007 from Bauhaus University Weimar in Germany and my PhD in Computer Science in 2010 from Vienna University of Technology (TU Wien) in Austria.
- Winner of the Austrian Computer Graphics Award 2015 — Best Technical Solution
- Runner-up for the Austrian Computer Graphics Award 2016 — Best Technical Solution
- Best Paper Honorable Mention, Pacific Graphics 2018
- EUROGRAPHICS Association — since 2010
- ACM SIGGRAPH — since 2011
- ACM — since 2021
- Adobe Research Gift, 2022 (thanks to Adobe!)
- Computational Design of Geometric Materials, 03/2016 – 08/2021 (funded by WWTF)
- MAKE-IT-FAB: Modeling of Shapes for Personal Fabrication, 04/2015 – 03/2020 (funded by FWF)
- EUROGRAPHICS 2026 — Chair of Short Papers Program (with Isaak Lim)
- SIGGRAPH 2026, 2025 — Technical Papers Committee
- SIGGRAPH Asia 2025, 2021 — Technical Papers Committee
- EUROGRAPHICS 2026, 2025, 2022, 2021, 2017, 2015 — International Program Committee
- Pacific Graphics (PG) 2025, 2024, 2023 — International Program Committee
- SGP 2024, 2023, 2022, 2021, 2020, 2019 — Symposium on Geometry Processing, IPC
- SPM 2024, 2023, 2022, 2021, 2018 — Solid and Physical Modeling, IPC
- Computer Graphics Forum — Associate Editor 2021 – 2024
Research
02My group works at the intersection of geometry, computer graphics, and machine learning. We investigate problems in
geometry processing · shape optimization · digital fabrication · generative AI
My group works where geometry, computer graphics, and machine learning meet. We build generative models for 3D content and design whose output can be edited, built, and trusted, not only looked at. The structure of the domain lives inside the model: the grammar of a facade, the mathematics of a surface that can be manufactured, the physical constraints a real object must satisfy. That is what makes the output controllable for a designer and dependable in the world. It does not compete with scale. A larger model is more capable and less inspectable, and in these domains the need for built-in structure grows with it. The same principle now carries our work into computer vision and the life sciences.
I look at multiple criteria, mainly mathematics skills and/or programming skills. A nice bonus is the knowledge of graphics or geometry. Also, natural curiosity and the drive to research are a strong plus. If you are interested, contact me by email!
Teaching
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