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Director of Machine Learning
Accomplished data science and AI leader with 15+ years of experience driving strategy while delivering hands-on, innovative solutions. Expert in developing and deploying advanced analytics, agentic LLM systems, and predictive models that improve decision-making and reduce costs. Recognized for bridging technical depth with executive priorities, establishing methodological best practices, and guiding cross-functional teams to translate complex data into business value.
Quantic School of Business and Technology
Executive MBA
January 1, 2018 – January 1, 2019
Massachusetts Institute of Technology
Master of Science (M.S.), Aerospace, Aeronautical and Astronautical Engineering
January 1, 2007 – January 1, 2009
Massachusetts Institute of Technology
Bachelor of Science (BS), Aerospace, Aeronautical and Astronautical Engineering
January 1, 2003 – January 1, 2007
Phenom
Director of Machine Learning
December 1, 2025 – Present
Remote
ELVTR
AI Governance Professor
January 1, 2024 – Present
Remote
Included
Director of Data Science and AI
October 1, 2023 – January 1, 2026
Mento
Professional Coach
September 1, 2023 – Present
Salesforce
Principal AI Ethics Data Scientist
September 1, 2021 – March 1, 2023
Senior Data Science Manager
June 1, 2020 – September 1, 2021
Intel Corporation
Head of AI for Social Good
April 1, 2018 – May 1, 2020
Intel Corporation
Deep Learning Data Scientist
January 1, 2017 – April 1, 2018
In-Q-Tel
Senior Data Scientist (Lab 41)
April 1, 2015 – January 1, 2017
Argonne National Laboratory
Data Scientist - Infrastructure & Performance Measurement
February 1, 2013 – February 1, 2015
MIT Lincoln Laboratory
Data Scientist - Associate Staff
September 1, 2009 – December 1, 2012
Massachusetts Institute of Technology (MIT)
Research Assistant
June 1, 2007 – June 1, 2009
Cultural Fit Analysis
The candidate's diverse experience, ranging from large tech companies (Facebook, Salesforce, Intel) to national laboratories (Argonne, MIT Lincoln Lab) and educational institutions (ELVTR), indicates adaptability and a broad perspective. Their focus on 'AI for Social Good' and 'AI Ethics' aligns with a culture that values responsible innovation and societal impact. The coaching role also suggests an interest in mentorship and professional development, contributing positively to team culture.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their teaching role and descriptions of customer consultation. Critical thinking, teamwork, and analytical skills are consistently listed across multiple roles. Their experience in developing methodologies and leading teams suggests strong operational fit for driving complex AI projects and managing technical teams.