# Qiaodong Cui, Ph.D.

> Software Engineer

Location: Medford, Massachusetts, United States
Profile: https://flows.cv/qiaodong

My expertise lies in computational graphics, simulation, and optimization, with a focus on developing scalable solutions that address industry challenges.

As the main inventor to SSP (Scalable Spectral Packing) technology, I have led its research and development across diverse industries such as 3D printing, robotics, and manufacturing. SSP has been successfully deployed to our clients to optimize their workflows and reduce costs.  Please visit my personal webpage: https://qiaodongcui.github.io/

## Work Experience
### Software Engineer, Computer Graphics @ Inkbit
Jan 2021 – Present | Boston, Massachusetts, United States
1. Invented and developed Scalable Spectral Packing, a pioneering 3D object packing
algorithm that increased Inkbit’s 3D printer throughput by 30%. Covered by diverse
media outlets.
2. Engaged in strategic partnerships with various companies to diversify the application
of Scalable Spectral Packing, extending its benefits to logistics, packaging, and
warehousing sectors.
3. Engineered and integrated multiple advanced geometry processing algorithms into
Inkbit’s software suite, significantly improving efficiency and performance.

### Software Development Fellow @ Open Avenues Foundation
Jan 2023 – Present | United States
Design and teach an 8-week course on computer graphics, focusing on WebGL and Three.js development. Mentored students in career development and provided guidance on interview strategies

### Postdoctoral Associate @ Yale University
Jan 2020 – Jan 2021 | United States
Developed effective spectral method for fluid simulation.

### Research Assistant @ University of California, Santa Barbara
Jan 2016 – Jan 2020 | United States
1. Developed a reduced model fluid simulation method which is fast, memory efficient and scalable with analytical basis functions. Accepted to SIGGRAPH 2018, first author.
2. Developed a fast image graph matching algorithm for large scale structure of motion which offers over 2X speedup over state of art vocabulary tree methods. Accepted to 3DV 2017 as oral, first author.
3 Explored applications of machine learning to physically based animation.

### Research Intern @ Adobe
Jan 2018 – Jan 2018 | Greater Seattle Area
1. Worked on structure analysis for 3D printing. Developed a fast and robust stochastic structural optimization, accepted to Eurographics 2020.
2. Working on accelerating structure analysis with machine learning.

### Research Intern @ DreamWorks Animation
Jan 2017 – Jan 2017 | United States
Built a tool to quickly generate Poisson disk distribution on the surface, with importance sampling. Implemented a method to relax the point distribution based on SPH simulation. Incorporated the tool into dreamworks in house hair modeling system.

### Research Assistant @ Beihang University
Jan 2014 – Jan 2015 | China
1. Developed and implemented a dynamic flame animation method and implemented a flame rendering algorithm based on PBRT. Accepted as a short paper in Eurographics 2015, first author.
2. Developed a mesh sequence preview algorithm. Accepted in ICME 2014, second author.


## Education
### Ph.D. in Computer Graphics
UC Santa Barbara

### Bachelor of Engineering (B.Eng.) in Computer Science
Beihang University


## Contact & Social
- LinkedIn: https://linkedin.com/in/qiaodong-cui-ph-d-740805b5
- Portfolio: https://qiaodongcui.github.io/

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Source: https://flows.cv/qiaodong
JSON Resume: https://flows.cv/qiaodong/resume.json
Last updated: 2026-03-31