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Research Scientist at Reality Labs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UC San Diego
MS, Electrical Engineering
January 1, 2005 – January 1, 2008
Woods Hole Oceanographic Institution
Neuroinformatics Summer School
January 1, 2005 – January 1, 2006
UC San Diego
PhD, Computational Neuroscience
January 1, 2002 – January 1, 2009
Rochester Institute of Technology
BS, Computer Science
January 1, 1998 – January 1, 2002
Meta
Research Scientist
May 1, 2023 – Present
New York, New York, United States
A9.com
Senior applied scientist
April 1, 2018 – March 1, 2023
Berkeley, California, United States
Amazon.com
Machine Learning Scientist
March 1, 2015 – March 1, 2018
Palo Alto, CA
Integral Ad Science
Senior Data Scientist
March 1, 2013 – February 1, 2015
New York, NY
Institute of Neuroscience, Technical University of Munich
Post-doctoral researcher
July 1, 2010 – December 1, 2012
Munich, Germany
Neuroinformatics course @ MBL
Lecturer
August 1, 2008 – August 1, 2012
Marine Biology Laboratory, Woods Hole, MA
Chronux Project
Data analysis software developer
August 1, 2006 – August 1, 2009
University of California, San Diego
PhD, Neuroscience
September 1, 2003 – July 1, 2009
Los Alamos National Laboratory
Research assistant
June 1, 2001 – August 1, 2002
Los Alamos, NM
Introduction to Data Science
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in research and applied science, which aligns with roles requiring analytical rigor and problem-solving. Their diverse experience across academia and industry, including contributions to open-source projects, indicates adaptability. However, the target role is 'Data Analyst,' which might be a step down from their 'Research Scientist' and 'Senior Applied Scientist' roles, potentially indicating a mismatch in career trajectory or expectations. The lack of explicit project details makes it difficult to assess alignment with specific company culture or project diversity beyond their stated roles.
Soft Skills & Operational Fit
The candidate's experience as a lecturer and contributor to open-source projects suggests strong communication and collaboration skills. Their extensive research background implies a methodical and problem-solving approach. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.