Houssam Nassif
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.