
Head of AI Implementation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Designing, inventing and applying machine learning and data analytics techniques to improve and make sense of the world. Frequent speaker at industry and academic conferences, professional groups and university colloquia. Advisor and mentor.
University of Pennsylvania
PhD, Mathematics
January 1, 2002 – January 1, 2007
Haverford College
B.S., Physics
January 1, 1994 – January 1, 1999
National AI Advisory Committee
National AI Advisory Committee Member
April 1, 2023 – April 1, 2026
United States
Palantir Technologies
Head of AI Implementation
August 1, 2021 – Present
Machine Learning Mentor - Google Launchpad Accelerator
January 1, 2017 – January 1, 2017
Palantir Technologies
Machine Learning & Data Science
January 1, 2016 – Present
Ayasdi
Principal Data Scientist, Lead R&D
April 1, 2013 – October 1, 2015
Menlo Park, CA
Stanford University/American Institute of Mathematics
Mathematician
January 1, 2009 – January 1, 2013
Stanford University
Mount Holyoke College
Visiting Assistant Professor
January 1, 2008 – January 1, 2009
Max Planck Institute for Mathematics
Postdoctoral Researcher
January 1, 2007 – January 1, 2008
Bonn, Germany
Campaign Scientific
Co-Founder
January 1, 2004 – January 1, 2006
Ricoh Silicon Valley
Software Engineer
January 1, 1999 – January 1, 2001
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior AI leadership role, given their diverse experience spanning academia, startups, major tech companies, and national advisory committees. Their background in fundamental research (mathematics, topological data analysis) combined with practical application in industry (Palantir, Ayasdi) and policy (NAIAC) indicates a broad perspective and adaptability. The co-founder experience also suggests an innovative and proactive mindset.
Soft Skills & Operational Fit
The candidate's experience as a National AI Advisory Committee Member, Head of AI Implementation, and Principal Data Scientist leading R&D suggests strong leadership, strategic thinking, and cross-functional collaboration skills. Their role as a Machine Learning Mentor also indicates mentorship and knowledge transfer capabilities. The co-founder experience points to entrepreneurial drive and problem-solving.