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Principal Applied Scientist at Meta
I started my career as a wet-lab biologist, before switching to computer sciences, earning my PhD in Artificial Intelligence from the University of Wisconsin - Madison. My early research spans biomedical informatics, statistical relational learning, and uplift modeling. I worked at Cisco and Google, as well as a biomedical informatics researcher, before joining Amazon in 2013 as the first recruit for Core ML, a central hub for ML excellence, whose mission was to disseminate ML throughout the company. I established and was the thought leader behind Amazon’s adaptive testing frameworks, researching, deploying and evangelizing bandits, with forays into reinforcement learning, causality, and diversity. I helped launch 27 business products across Amazon, Google, Cisco, and UW Health, which generated $2 billion incremental yearly revenue. I have published over 25 peer-reviewed papers in leading ML conferences and journals, and my work has been recognized with 4 paper awards.
University of Wisconsin-Madison
PhD minor, Statistics
January 1, 2007 – January 1, 2009
University of Wisconsin-Madison
Doctor of Philosophy (PhD), Computer Sciences
January 1, 2006 – January 1, 2012
American University of Beirut
Master of Science (MS), Computer Sciences
January 1, 2001 – January 1, 2006
American University of Beirut
Bachelor of Science (BS), Biology
January 1, 1997 – January 1, 2001
Meta
AI Specialist
December 1, 2022 – Present
Amazon
Principal Applied Scientist, Prime and Marketing
August 1, 2017 – December 1, 2022
Greater Seattle Area
Amazon
Machine Learning Scientist, Core ML
July 1, 2013 – August 1, 2017
Greater Seattle Area
University of Wisconsin Hospital and Clinics
Clinical Informatics Researcher
August 1, 2012 – July 1, 2013
Greater Madison Area
Software Engineer Intern
May 1, 2011 – August 1, 2011
San Francisco Bay Area
Cisco
Software Engineer Intern
June 1, 2008 – August 1, 2008
San Francisco Bay Area
University of Wisconsin-Madison
Machine Learning Researcher
August 1, 2006 – August 1, 2012
Greater Madison Area
Ministry of Defense, Lebanon
Software Engineer and Database Administrator
April 1, 2004 – April 1, 2005
Beirut, Lebanon
American University of Beirut
Lecturer and Bioinformatics Researcher
October 1, 2001 – June 1, 2006
American University of Beirut
Biochemical Laboratory Researcher
September 1, 2000 – September 1, 2001
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through diverse experiences across academia, research, and industry giants like Google, Amazon, and Meta. Their involvement in building ML communities and academic partnerships at Amazon shows a collaborative and knowledge-sharing mindset. The breadth of projects, from clinical informatics to e-commerce optimization, indicates adaptability and a wide range of interests, aligning well with dynamic, data-driven environments. The candidate's continuous pursuit of advanced education (PhD) and research roles also suggests a strong learning orientation.
Soft Skills & Operational Fit
The candidate's experience at Amazon in establishing ML culture, running office hours, and chairing conferences suggests strong leadership, communication, and collaboration skills. Their role as a Principal Applied Scientist indicates strategic thinking and the ability to drive large-scale initiatives. The descriptions highlight problem-solving and innovation.