For more recent updates and information, please check my Curriculum Vitae.
For a complete list of publications, please check my Google Scholar.
I'm a senior member of the research staff and technical lead at Intel Labs. I received my Ph.D. from the Computer Science Department at Purdue University,
and my M.Sc in statistics and computer science from Purdue University. Before joining Intel Labs, I had the opportunity to work at a number of industrial research labs including Meta, Adobe research, Technicolor research, and the data mining and computer modeling center of excellence in Egypt.
My research lies in the field of large-scale machine learning and spans the theory, algorithms, and applications of graph representation learning, large language models, generative AI, as well as statistical sampling and inference. I authored numerous papers and tutorials in top-tier AI and computer science conferences and journals.
My research covered by popular press such as the MIT Technology Review, and the Montreal AI Ethics Institute.
I'm very honored to be a recipient of the class of 2014 Rising Stars in Computer Science (selected by top faculty from UC Berkeley, Stanford University, MIT). I also co-founded the open source Network Repository, the first open data repository with interactive visual graph analytics to promote reproducibility and help researchers find and explore graph data in real-time. I received the Intel Labs recognition award for my significant contributions and impact to Intel's DARPA HIVE successful proposal and project in 2019, and AI innovations in system performance optimization in 2020-2022.
Erdos Number 3 --- (Nesreen Ahmed -> Nick Duffield -> Noga Alon -> Paul Erdos).