Candidate ID: #17
Location: Northern Virginia / DC area

EMPLOYMENT SUMMARY

• Current/Most Recent: 5+ years (Feb. 2021 – Present) at Leidos as Principal Research Scientist, Predictive Analytics Discipline Leader for the AI Accelerator, and Product Owner for Predictive Analytics & Knowledge Mining – Holds active TS/SCI clearance with Public Trust (IT-I)
• Past: 25+ years spanning defense analytics and applied ML, including Director of Information Sciences at Virginia Tech Applied Research Corp ($7.62M portfolio), Senior Research at Institute for Defense Analyses, and Director of Data Mining at Applied Research Associates – Extensive published research in biosurveillance, disease modeling, and machine learning; MS from Carnegie Mellon, BS from Cornell

ACCOMPLISHMENTS

• Proposal-Winning Capabilities – Created R2-View (Retention & Recruiting View), the first corporate capability selected as a Leidos Repeatable Offering and a key technical discriminator on winning proposals including CHS-6 ($7.9B), Maru ($206M), and Chinook ($86M)
• AI Tools in Transition – Designed and built the Amethyst knowledge-discovery/recommendation tool (transitioning to NIH) and P2-View/TAMSER equipment failure prediction tools now adopted by the Defense sector
• Business Growth – More than tripled division revenue at VT-ARC and brought in two entirely new multi-million-dollar customers through her sole marketing and proposal efforts
• Recognized Technical Leader – Winner of multiple Leidos CTO, technology transition, and hackathon awards, the Women of Color STEM Technical Achievement Award (2023), and two Dataiku Frontrunner Awards; currently completing a Udacity Agentic AI Nanodegree; AWS ML and Data Analytics Specialty certified