Haggai Maron is an Assistant Professor and the Robert J. Shillman Fellow at the Faculty of Electrical and Computer Engineering at the Technion and a senior research scientist at NVIDIA Research at NVIDIA's lab in Tel Aviv. His primary research interest is in machine learning, with a focus on deep learning for structured data. Specifically, he studies how to apply deep learning techniques to sets, graphs, point clouds, surfaces, weight spaces and other mathematical objects that have an inherent symmetry structure 

Guy is a Ph.D. Student in the Computer Science Department at the Technion under the joint supervision of Haggai Maron and Ran El-Yaniv . His research focuses on deep learning, with a specific interest in Graph Neural Networks and uncertainty estimation. He has interned as a research scientist at Google-Verlily and Meta.

Yam is a 2nd year PhD student in Haggai Maron's lab working on graph neural networks, geometric deep learning, and generative AI. 

Yoav is a PhD student at the University of Oxford, co-advised by Yarin Gal, Michael Bronstein, and Haggai Maron. His research focuses on the symmetry and structure of neural network parameter spaces, with the goal of performing meta-learning tasks over model weights. He holds an undergraduate degree in mathematics from the Technion, where he was a Rothschild scholar. Before joining Oxford, Yoav conducted research on expander graphs at the Weizmann Institute, developed fair learning algorithms at Fairgen, and taught math and programming at the ARDC. His PhD is funded by the EPSRC through the AIMS CDT program.