
Staff Research Scientist at Google
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Experienced Research Scientist with a demonstrated history of working in the hospital & health care industry. Highly skilled in machine learning, artificial intelligence, optimization, and simulation with over 15 years of programming experience. Strong research professional with a Doctor of Philosophy (PhD) focused in Physics from Wayne State University.
Wayne State University
Doctor of Philosophy (PhD), Physics
January 1, 2010 – January 1, 2014
Wayne State University
Master of Science (M.S.), Physics
January 1, 2009 – January 1, 2012
University of Michigan
Bachelor of Science (B.S.), Neuroscience
January 1, 2005 – January 1, 2009
Staff Research Scientist
June 1, 2022 – Present
Staff AI Engineer
July 1, 2017 – June 1, 2022
Improvement Path Systems
Research Scientist
May 1, 2014 – June 1, 2017
Rochester Hills, MI
Wayne State University
Graduate Teaching Assistant
August 1, 2010 – April 1, 2014
Detroit Metropolitan Area
Wayne State University
Graduate Research Assistant
May 1, 2010 – April 1, 2014
Detroit Metropolitan Area
Cray Inc.
Cray XT Technician
April 1, 2009 – August 1, 2009
Oak Ridge National Labs
University of Michigan
Research Assistant
January 1, 2008 – April 1, 2008
Ann Arbor
Galaxy Collision
January 1, 2012 – Present
A simulation run of 5 galaxies colliding and their super-massive black holes coalescing.
Model Thinking
Coursera
June 24, 2026 – Present
Professional Machine Learning Engineer
Google Cloud
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Data Engineering on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
R Programming
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and large tech companies (Google). The 'Galaxy Collision' personal project, while demonstrating intellectual curiosity, lacks explicit collaboration or team-oriented aspects. The certifications in Machine Learning, Data Science, and R Programming align with a data-centric role. However, the overall project diversity is limited, and the transition from Staff AI Engineer/Research Scientist to a Data Analyst role might require assessing motivation and alignment with the specific responsibilities of a Data Analyst, which often involves more direct business impact analysis rather than pure research or model development. The experience is highly technical, but the direct alignment with typical Data Analyst responsibilities (e.g., dashboarding, reporting, stakeholder communication for business insights) needs further exploration.
Soft Skills & Operational Fit
The candidate's experience as a Research Scientist leading R&D and Machine Learning groups, and as a Graduate Teaching Assistant, suggests strong leadership, mentorship, and communication skills. The detailed descriptions of creating and implementing complex models indicate a methodical and problem-solving approach. The academic background implies strong analytical rigor and a capacity for independent research. However, without specific psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.