To work with fun, intelligent and interesting people dedicated to tackling engaging and challenging research problems at the intersection of computer graphics and machine learning.
2006−2013 Oregon State University Corvallis, OR
1999−2005 University of California at Davis Davis, CA
  • Bachelors of Science in Computer Science and Engineering
  • Computer Graphics
  • Advanced Computer Graphics
  • Shader Programming
  • Computer Animation
  • Computer Vision
  • Information Visualization
  • Computer-Aided Geometric Design
  • Geometric Modeling
  • Scientific Visualization
  • Machine Learning
  • Bayesian Networks
  • Differential Geometry
LRSM M. Sugihara and R. Rauwendaal and M. Salvi, Layered Reflective Shadow Maps for Voxel-based Indirect Illumination, High Performance Graphics, 2014. Available online:
Hybrid Voxelization R. Rauwendaal and M. Bailey, Hybrid Computational Voxelization Using the Graphics Pipeline, Journal of Computer Graphics Techniques (JCGT), vol. 2, no. 1, 15-37, 2013. Available online:
Smoke T. Morrison and R. Rauwendaal, A Comparison of Data Parallel Techniques for High Fidelity Smoke, Intel Internal Whitepaper
Count Planting D. S. Long, S. B. Wuest, J. D. Williams, R. Rauwendaal, M. J. Bailey, Contour Planting: A Strategy to Reduce Soil Erosion on Steep Slopes, International Conference on Precision Agriculture. Available online:
Conservation Farming R. Rauwendaal and M. Bailey, Analyzing Terrain Surfaces to Synthesize and Visualize Optimal-Coverage Tractor Paths for Conservation Farming, Tech Report. Available online:
2022−present Meta – Reality Labs Research Graphics Remote
  • Co-designed a novel shadow rendering approach along with proposed hardware changes for a bespoke graphics IP.
  • Proposed an Oracular Renderer as a significant enhancement over naïve cloud-device split renderer.
2015−2022 Apple – Platform Architecture Group Cupertino, CA
  • Architected and designed the Apple Tessellator, Vertex Amplification, Multilayer Rendering, Barycentric Coordinates & Primitive ID, and Variable Rasterization Rate features.
  • Led several significant X-functional efforts at Apple that resulted in differentiating IP.
  • Prototyped advanced Graphics algorithms.
  • Established and led the Rendering Research Discussion Group for 7 years (over 70 presentations!)
  • Undisclosed research.
2014−2015 Intel – Advanced Technology Group Victoria, BC
  • Provide architectural advice and consultation to game developers and middleware providers to best enable Intel graphics solutions.
  • Research new real-time graphics techniques targeted at game developers.
2006−2013 Graphics and Image Technology Lab Corvallis, OR
Grantee of Intel’s Visual Computing Initiative
  • Explored advances in the parallelization and discretization of global illumination algorithms.
Grantee for USDA Agricultural Research Program
  • Developed a contour following coverage algorithm based on GPU neural networks.
2010−2011 Intel – Advanced Visual Computing Hillsboro, OR
  • Worked on the native API for Intel’s Many Integrated Core architecture.
  • Co-authored an internal white-paper evaluating several Intel proprietary parallel programming models for vector utilization.
2004−2005 Center for Geotechnical Modeling Davis, CA
  • Developed an intuitive application to gather data from a wireless sensor network.
  • Maintained UC Davis NEESit equipment site.
2003−2004 Institute for Data Analysis & Visualization Davis, CA
  • Researched the segmentation of complex datasets through the analysis of Gaussian curvature.
  • Explored the usage of T-spline surfaces as a method for the reconstruction of terrain features based upon curvature segmentation information.
Summer 2003 Center for Urban Forest Research Davis, CA
  • Worked to develop a sophisticated 3D tree modeling program.
  • Utilized customized recursive L-systems to generate unique trees.
Summer 2002 Guidant Santa Clara, CA
  • Maintained critical operations database and developed site features.
  • Developed and designed several featured web pages.
1998−1999 Lockheed Martin Solar Astrophysics Lab Palo Alto, CA
  • Investigated nonlinear dynamics of stellar dynamos.
  • Simulated the magnetic convection currents of the sun.
  • Rendered complex visualizations of solar dynamics.
  • Extensive knowledge of computer graphics and scientific visualization, global illumination algorithms, geometric modeling, and real-time and photorealistic rendering techniques.
  • Proficient in C/C++, Zig, Java, Python, and Javascript.
  • Experienced with OpenGL, DirectX, WebGPU, GLSL, HLSL, WGSL, and many graphics toolkits.
  • Computer graphics, global illumination algorithms, real-time rendering techniques, scientific visualization, physically based rendering techniques, and geometric modeling.
  • U.S.
  • E.U. (Netherlands)
  References or recommendation letters furnished upon request.