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.

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

Developed effective spectral method for fluid simulation.

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.

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.