Lucille Eleanor Nguyen

contact [at] lucenguyen [dot] com

My Blog, Poverty of Attention

I am a data scientist with experience in fraud prevention, financial analytics, and statistical modeling in a wide range of industrial applications. I currently work in the Predictive Modeling group at LegalMatch, where I work on AI/machine learning engineering, statistical forecasting, and algorithmic matching for the legal services industry. I also consult on data science, artificial intelligence, and computational social science issues at Chromatic Data, a strategic artificial intelligence consultancy focused on synthetic data for social impact organizations.

I have academic training in data science, mathematics, social science, and philosophy. I'm currently studying technology management and artificial intelligence in the graduate program in Artificial Intelligence Management at Georgetown University. I hold a M.Sc. in Data Science from Eastern University, with a capstone/thesis on the philosophy and application of the Akaike Information Criterion for statistical inference. I graduated Phi Kappa Phi in the Liberal Arts and Sciences at Northern Illinois University summa cum laude focusing on quantitative social science and the philosophy of science. I also did graduate coursework in mathematics at Northwest Missouri State University.

In my free time, I am an actuarial candidate and am working through examinations for the field. I also hold a certification as a Climate Protection Professional, am a published poet, was formerly a professional photographer, am an amateur baker and chef, and am an avid enjoyer of the outdoors.

• Strategic Energy Innovations Climate Corps Fellow, working with the Bay Area Rapid Transit District and Capitol Corridor Joint Powers Authority on transportation operations research, sustainability, and project management.
• Worked at the US Department of Agriculture, Forest Service Office of Safety and Occupational Health as a data scientist developing analytic pipelines to support key program areas like emergency medical services, fire and aviation management, occupational safety, and casualty prevention.
• Additionally wore a second hat as a Emergency Medical Program Specialist, working on operations and research alongside medical research partners at Vanderbilt University and Wake Forest University for directing emergency medical services. This included statistical research on novel datasets on remote medical care that are currently being used to update guidelines for nationwide emergency medicine practices.
• Consulted for the US Department of Transportation Office of the Secretary of Transportation - Policy on geographic information systems, statistical modeling, and sustainability analytics with a focus on web mapping tools for infrastructure development.
• Liased with the Department of Homeland Security, Department of the Interior, and responded to Executive and Legislative branch inquiries on disaster response, emergency medical care, and utilizing computational tools to improve public safety and predict emergent events.
• Developed epidemiological and occupational health data collection procedures for government, utilizing anonymized data and privacy-preserving technologies to track and prevent in-the-field health issues for disaster response efforts.
• Participant in the Woodrow Wilson International Center for Scholars Technology Labs on artificial intelligence developments and policy proposals for executive and legislative branch staff. All events were conducted under Chatham House Rules for presenters and participants in the labs.
• Routinely contributed to public sector data science initiatives, including attenting District of Columbia-based conferences in civic technology, being an active member of the Artificial Intelligence Community of Practice with the General Services Administration's Information Technology Modernization Centers of Excellence, and was chosen for a workgroup for the NSF/MITRE Federal Artificial Intelligence Workforce Effort.
• Worked at Federal Student Aid, An Agency of the US Department of Education as a data scientist in the Statistical Research and Modeling Group on fraud prevention, financial analytics, and data governance initiatives for managing the over $1.6 trillion federal student loan portfolio.

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LegalMatch
Chromatic Data

Affiliations are given for identification purposes only. All opinions are conducted in a personal capacity. The views expressed are my own and do not necessarily represent the views of my employer(s).