Maziar is a research scientist on the AI Integrity team. AI integrity strives to make the world a better place by tackling important problems, such as hate(ful) speech, misinformation and many more, through the power of AI.
Prior to joining Facebook, Maziar was at Electronic Arts (EA) where he developed AI models for applications in computer graphics and game design. Maziar completed his PhD at the University of Minnesota, working on optimization methods for statistical signal processing and machine learning. He held postdoctoral positions at UCLA and USC where he worked on scalable AI methods. His current research interests broadly include optimization, multi-modal learning, multi-task and meta-learning, adversarial learning, generative modeling, federated learning, and fairness in machine learning.
April 04, 2024
Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
April 04, 2024
February 20, 2023
Maziar Sanjabi, Aaron Chan, Hamed Firooz, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren
February 20, 2023
July 18, 2022
Maziar Sanjabi, Aaron Chan, Hamed Firooz, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren
July 18, 2022
July 13, 2022
Lin Xiao, Abdelrahman Mohamed, Kshitiz Malik, Maziar Sanjabi, Mike Rabbat, Krishna Pilllutla
July 13, 2022
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