Arvi Gjoka
PhD Candidate
Greater New York City Area United States
Summary
👤
Senior🎓
Top SchoolArvi Gjoka is a PhD candidate at NYU's Courant Institute with 11 years of hands-on experience spanning computer vision, machine learning, differentiable simulation, and geometry processing. He blends deep learning toolkits (Python, PyTorch, OpenCV) with low-level graphics and C++ libraries (OpenGL, libigl, Eigen) to bridge data-driven models and physics-informed optimization. His work focuses on differentiable simulation and optimization, reflecting a research-driven approach to making physical systems and graphics pipelines amenable to gradient-based learning. Trained in both physics and computer science, he brings a strong mathematical foundation to practical engineering problems and often operates at the intersection of vision, geometry, and simulation. Based in the Greater New York City area, he pairs academic rigor with production-minded implementation.
11 years of coding experience
Bachelor's Degree, Physics, Computer Science, Senior, Bachelor's Degree, Physics, Computer Science, Senior at New York University
Spanish, Albanian, English
Github Skills (31)
simulation10
windows10
linux10
cmake10
pardiso10
eigen10
adam10
suitesparse10
python-bindings10
macos10
nonlinear-optimization10
cpp10
wrapper10
splines10
numerical-integration9
Programming languages (3)
Github contributions (5)
arvigj/pneumatic-actuator-design
Apr 2024 - Jun 2025
An optimization algorithm for the design of pneumatic soft robots.
Contributions:2 PRs, 31 pushes, 2 branches in 1 year 2 months
arvigj/polyfem
Jun 2023 - Apr 2025
A polyvalent C++ FEM library
Contributions:27 pushes, 3 branches in 1 year 9 months
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