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Scientist who likes to engineer to do science!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML & AI enthusiast, practitioner, scientist and engineer. And I also love talking to people!
Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computational Biochemical Physics
January 1, 2009 – January 1, 2015
Boston University
BA, Chemistry
January 1, 2004 – January 1, 2008
Ford Motor Company
Staff Data Scientist
February 1, 2025 – Present
Defense Unicorns
Vice President of Artificial Intelligence
June 1, 2024 – November 1, 2024
AGIiML
ML & AI Consultant
March 1, 2023 – Present
Storyblocks
Director of Machine Learning
January 1, 2022 – January 1, 2024
Arlington, VA
ArborMetrix
Director of Data Science
October 1, 2019 – January 1, 2022
Ann Arbor, MI
Ford Motor Company
Machine Learning / Artificial Intelligence Scientist
August 1, 2017 – September 1, 2019
Dearborn, MI
SessionM
Senior Data Scientist
June 1, 2017 – August 1, 2017
Boston, MA
Gradient AI
Data Scientist
July 1, 2015 – May 1, 2017
Cambridge, MA
Massachusetts Institute of Technology
PhD Graduate Sudent
September 1, 2009 – August 1, 2015
Bruce Tidor Lab
Microbiotix, Inc
Research Scientist
July 1, 2008 – June 1, 2009
Boston University Science Bowl
Coordinator
June 1, 2005 – February 1, 2008
Boston University
Undergraduate Researcher
June 1, 2005 – June 1, 2008
Cultural Fit Analysis
The candidate's extensive experience in leadership roles within AI/ML and data science, coupled with a PhD from MIT, indicates a strong drive for innovation and high-level problem-solving. The diverse industry experience (automotive, defense, media, healthcare, finance) suggests adaptability and a broad perspective, which can be beneficial for cultural fit in dynamic environments. However, the target role of 'Data Analyst' is significantly below the candidate's demonstrated experience and leadership level, which could lead to a mismatch in expectations or a lack of engagement if the role does not offer sufficient challenge or growth opportunities aligned with their senior profile. The candidate's profile is heavily skewed towards AI/ML/Data Science leadership, not traditional data analysis.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, team growth, and individual development orientation, suggesting strong soft skills for management and mentorship. The diverse project exposure indicates adaptability and a growth mindset. However, the target role is 'Data Analyst' which is a significant step down from 'Vice President of Artificial Intelligence' or 'Director of Machine Learning', suggesting a potential mismatch in operational fit for a hands-on analyst role without leadership responsibilities.