University of Florida
Ph.D. research · GATAS Lab
Working with Prof. James P. Fairbanks on structured numerical and graph algorithms, sparse computation, GPU implementations, and mathematical approaches to multi-agent systems.
Research and software →Background and experience
About Itay
I am a Ph.D. student in Mechanical and Aerospace Engineering at the University of Florida, advised by Prof. James P. Fairbanks in the GATAS Lab. I develop efficient algorithms for structured computational problems, spanning sparse numerical linear algebra, GPU computing, graph algorithms, and intelligent robotic systems. I also work on rigorous evaluation of AI models in scientific and embodied settings.
Before Florida, I completed dual B.S. degrees in Computer Science and Applied Mathematics at the University of Texas at Dallas. At the Intelligent Robotics and Vision Lab, I worked on robot perception, semantic mapping, and learning-based exploration with Prof. Yu Xiang.
I am interested in the meeting point of numerical analysis, combinatorial algorithms, and scientific computing: how the structure of a problem can guide both its mathematical formulation and its implementation.
Research across disciplines
Experience
Independent AI evaluation
Handshake AI
Design and evaluation of rigorous advanced mathematics and physics tasks for frontier AI systems.
The University of Texas at Dallas
Intelligent Robotics and Vision Lab
Research with Prof. Yu Xiang on RGB-D perception, persistent semantic maps, robot exploration, and perception benchmarks, including AutoX-SemMap, RPX, and IntelX.
Clemson University · H-CORE REU
Human factors and worker performance
Research on cognitive workload, mental fatigue, and task rotation with Prof. Tuğçe Işık and collaborators.
Presentation details →Outside research
I enjoy hiking, camping, skiing, and teaching mathematics and computer science. Helping students work through difficult ideas is a part of my life I value alongside research.