Jeffrey Wang / Visual computing portfolio
I'm Jeffrey, studying Computer Science and Art at Carnegie Mellon University. I build renderers, explore how computers see, and turn data and code into visual experiences.
Built a high-performance real-time renderer in C++ and Vulkan, implementing GPU programming, ray tracing, UE5 global illumination with probes, shadows, post-processing, and performance optimization through profiling and multithreading.
A physically based ray tracer built in C++ using the DIRT rendering framework to generate complex reflective and refractive caustics. The renderer combines Monte Carlo path tracing, specular manifold sampling, Newton-based light-path solving, multiple importance sampling, BVH acceleration, and multithreading to simulate realistic light transport through mirrors, glass spheres, and layered dielectric materials.
A 3D graphics application spanning software rasterization, mesh editing, path tracing, and animation. I implemented triangle pipelines, half-edge mesh operations, BVH-accelerated ray tracing, physics systems, physically based shading, rigging, and inverse kinematics.
A collection of computer vision projects exploring image filtering, Hough transforms, planar augmented reality, 3D reconstruction, scene recognition, neural networks, and video tracking. Built through Python-based implementations of classical vision algorithms and deep-learning techniques.
An experimental anatomical visualization tool for slicing, bending, transforming, and recomposing volumetric body imagery through interactive MPR, curved surfaces, and computational effects.
A real-time ultrasound tongue recognition system that explores an indexical reimagining of the phonetic alphabet. The project connects ultrasound imagery, recognition, and visual experiments with speech.
A generative pipeline that transforms LEGO minifigure models from official CAD libraries into optimized SVG illustrations. Thousands of figures can be generated, categorized, queried, and arranged into visual typologies using Blender scripting, batch processing, edge detection, and t-SNE mapping.
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A collection of 3D games and interactive experiments built in Unity and C#. Explore the gameplay below, or play the games in your browser on my itch.io page.
A self-help mobile app created for Allegheny Health Network. My work included Firebase backend data collection and a Python CI/CD pipeline for asset production and content validation. The project brings together playful environments, character animation, and interactive activities.
An on-campus navigation application for Carnegie Mellon University, helping users explore campus locations. The project includes visual maps, building levels, and navigation views.
Get in touch
Interested in my work? Send me an email or read my résumé.