Research Scientist
Responsible AI at Meta
Research Scientist
Responsible AI at Meta
I'm proud to be a core contributor on our Llama 3.1 release, as well as our latest research paper, The Llama 3 Herd of Models.
I am a Research Scientist at Meta, working at the intersection of responsible AI and generative AI. Previously, I spent several years as both an Engineering Manager and Research Scientist working on News Feed at Facebook, leading teams and projects that worked on content and user understanding for recommendations, ranking, and integrity. I completed my Ph.D.
in Computer Science at Carnegie Mellon University, on the subject
of machine learning methods for personalization. My advisor was Carlos Guestrin (now at Stanford), and I was
a member of the SELECT Lab.
In 2016, I co-organized the ICML workshop on Computational Frameworks for Personalization. I've co-organized NeurIPS workshops in 2014 on Personaliation: Methods and Applications, and in 2013 and 2012 on social networks and social media analysis. In 2011, I co-organized the
Workshop on Enriching Information Retrieval (ENIR 2011)
at SIGIR 2011, in Beijing, China, July 28, 2011.
In the summer of 2011, I interned at Microsoft Research Cambridge,
working with Ralf Herbrich on transparent user models for personalization.
From February 2007 through August 2008, I took a leave of absence from the Ph.D. program in order to spend some time in industry.
I spent three months at Google New York, where I worked on Personalized Search.
This was followed by a year at MITRE in McLean,
Virginia, where I applied machine learning to national policy problems, primarily working with the Securities and Exchange
Commission and other agencies of the federal government.
I received undergraduate degrees in Computer Science and Electrical and Computer Engineering, with a minor in political science, from Carnegie Mellon University in 2004. I received a Masters degree in
Computer Science, also from Carnegie Mellon, in 2006.
Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin Personalized Collaborative Clustering. In Proc. of 23rd International World Wide Web Conference (WWW 2014), April 2014, Seoul, Korea. [pdf]
Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin Representing Documents Through Their Readers. In Proc. of 19th International Conference on Knowledge Discovery and Data Mining (KDD 2013), August 2013, Chicago, Illinois. [pdf] [suppl] [slides]
Khalid El-Arini. Beyond Keyword Search: Representations and Models for Personalization. Doctoral Dissertation, Carnegie Mellon University, January 2013. [pdf] [slides]
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael and Blaise Agüera y Arcas. Transparent User Models for Personalization. In Proc. of 18th International Conference on Knowledge Discovery and Data Mining (KDD 2012), August 2012, Beijing, China. [pdf] [suppl] [slides]
Khalid El-Arini and Carlos Guestrin. Beyond Keyword Search: Discovering Relevant Scientific Literature. In Proc. of 17th International Conference on Knowledge Discovery and Data Mining (KDD 2011), August 2011, San Diego, California. [pdf] [suppl] [slides]
Khalid El-Arini, Gaurav Veda, Dafna Shahaf and Carlos Guestrin. Turning Down the Noise in the Blogosphere. In Proc. of 15th International Conference on Knowledge Discovery and Data Mining (KDD 2009), June 2009, Paris, France. [pdf] [suppl]
Khalid El-Arini, Andrew W. Moore and Ting Liu. Autonomous Visualization. In Proc. European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2006), September 2006, Berlin, Germany. [pdf] [suppl]
Khalid El-Arini and Kevin Killourhy. Bayesian Detection of Router Configuration Anomalies. In Proc. ACM SIGCOMM Workshop on Mining Network Data (MineNet-05), August 2005, Philadelphia, Pennsylvania. [pdf] [suppl]
Khalid El-Arini, Emily B. Fox and Carlos Guestrin. Concept Modeling with Superwords. arXiv:1204.2523, April 2012. [arXiv]
"Bag of Words" art installation, Gates Center at Carnegie Mellon University (joint work with Jonathan Huang, Sue Ann Hong and Joseph Gonzalez). [photos courtesy of Jonathan Huang]