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Machine Learning Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Master of Science (M.Sc.), Computational Neuroscience
January 1, 2007 – January 1, 2009
Rose-Hulman Institute of Technology
Bachelor of Science (B.Sc.), Computer Science and Mathematics
January 1, 2000 – January 1, 2004
Apple
Principal Scientist, Health AI/ML
April 1, 2026 – Present
Google DeepMind
Senior Staff Research Scientist & Manager
April 1, 2024 – April 1, 2026
Mountain View, California
Staff Research Scientist & Manager
March 1, 2015 – April 1, 2024
Mountain View, California
Broad Institute
Group Leader, Computational Methods Development
October 1, 2009 – March 1, 2015
Cambridge, Massachusetts
MIT Lincoln Laboratory
Associate Technical Staff, LiDAR Algorithms
June 1, 2004 – June 1, 2007
Lexington, Massachusetts
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced research and AI/ML development, primarily in Principal/Staff Scientist and Manager roles at leading tech companies and research institutions. While the analytical rigor is a strong fit, the target role of 'Data Analyst' might be a significant step down in terms of scope and responsibility compared to their extensive experience. This could lead to a potential mismatch in expectations or underutilization of their advanced skills. The breadth of skills is high within AI/ML and computational science, but specific 'Data Analyst' tools and day-to-day tasks are not explicitly detailed.
Soft Skills & Operational Fit
The candidate's career trajectory indicates strong analytical thinking, problem-solving, and leadership skills. Experience in managing research teams suggests good collaboration and communication abilities. The focus on AI/ML and computational methods implies a structured and data-driven approach to work.