About

I conduct research, build, and evaluate AI systems for high-recall information retrieval, technology-assisted review, and legal analytics.

My work centers on technology-assisted review and high-recall retrieval — methods for finding nearly every relevant document in a large collection with provable statistical guarantees. I publish primarily in ACM venues (ICAIL, SIGIR) and translate that research into practice as Associate Director of Data Science at Elevate Law.

In parallel, I develop and teach educational programs on AI, information retrieval, and legal technology. Through courses, workshops, and invited talks, I help diverse audiences understand how machine learning systems are evaluated, deployed, and used in practice, and I welcome opportunities to contribute as an instructor, lecturer, or speaker.

Based in Washington, DC. Available for invited talks, panels, and teaching engagements.

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Education

  • M.S., Data Science

    Johns Hopkins University

    2024

  • B.S., Computer Science

    Florida Atlantic University

    2021
Experience

  • Associate Director, Data Science

    Elevate Law · Washington, DC

    Nov 2022 — present

    Lead client-facing analytics and AI engagements for legal and regulatory matters. Design statistical evaluation frameworks, retrieval workflows, and predictive modeling solutions that support defensible decision-making at scale. Design exploratory analysis and predictive modeling workflows in Python. Build visualizations and documentation that translate technical evaluation into actionable guidance for legal teams and non-technical stakeholders.

  • Data Scientist

    Redgrave Data

    Oct 2021 — Nov 2022

    Conducted exploratory analysis and statistical modeling on structured and unstructured datasets. Designed predictive models supporting technology-assisted review workflows in legal analytics.

  • Senior Advisor

    Redgrave LLP

    Oct 2021 — Nov 2022

    Led technical aspects of consulting engagements involving large-scale data analysis and legal technology workflows.

Awards

  • Relativity AI Visionary Award

    For contributions to applied AI in legal practice

    2024

  • Best Paper

    International Conference on Artificial Intelligence and Law (ICAIL)

    2023

  • Master's Fellowship

    National GEM Consortium

    2021
Focus
Information retrieval Technology-assisted review High-recall retrieval Statistical evaluation Generative AI in regulated industries Python SQL Tableau · AWS QuickSight Technical communication Curriculum design