Director, IP Strategy & Technology
AI-powered patent analytics expert with a proven track record in transforming IP strategy through data science and machine learning.
Spoke at Conf42 on AI and ML applications in IP analytics.
Presented on Rust programming for high-performance data processing.
UnitedLex
2021 - Present
Founded and led the IP Data Science Team, developing AI-powered analytics for patent intelligence.
UnitedLex
2017 - 2020
Built interactive dashboards using D3.js and Vega for patent analytics visualization.
UnitedLex
2011 - 2017
Conducted patent litigation code reviews and analysis for high-stakes cases.
Developed comprehensive patent analytics platform processing 100K+ patents with 50% reduction in review time.
Built deep learning model achieving 90%+ prediction accuracy for patent outcomes.
Created D3.js/Vega-based dashboard improving search efficiency by 60%.
Analyzed $300M+ in trial verdicts with review of 1M+ lines of code.
Effective visualization techniques for categorical data in patents.