Viviana Luccioli

Washington, D.C.  ·  vcl16@georgetown.edu  ·  LinkedIn  ·  GitHub

↓ Resume ↓ Full CV
Education
Georgetown University
M.S. Data Science & Analytics (DSAN)
August 2024 – May 2026  ·  Washington, DC
  • Coursework: Big Data & Cloud Computing, Neural Networks & Deep Learning, Machine Learning App Deployment, Applied Generative AI for AI Developers, Computational Linguistics with Advanced Python, Statistical Learning, Data Visualization
  • Georgetown University Merit Scholarship Recipient (2024, 2025)
  • First Place – DC Metro StatConnect Conference 2025, Graduate Research Paper Competition
  • Nominee – 2025 Outstanding Georgetown Graduate Student Award
University of Virginia
B.A. Applied Statistics & B.A. Global Public Health
August 2020 – August 2024  ·  Charlottesville, VA
Publications
IEEE Big Data 2025
LLM on a Budget: Cost-Effective Knowledge Distillation for Efficient Classification of Large Text Corpora
Luccioli, V. et al., 2025  ·  Federal Reserve Board of Governors  ·  Also published as a FEDS Notes paper
Experience
Federal Reserve Board of Governors
Statistics, Data Management, and AI Intern — Financial Stability, Cyber & AI Sentinel Lab
May 2025 – Present  ·  Washington, DC
  • First author of LLM on a Budget (IEEE Big Data 2025); co-designed methodology and developed M-RARU, an active learning algorithm that reduced training sample requirements by 80% while preserving classification performance for large-scale text corpora
  • Designing multi-agent orchestration system automating literature review, analysis, and chart generation for economic research (LangGraph, FastAPI, Streamlit)
  • Architecting a multi-agent trading simulation (MCP, A2A, LangGraph) to evaluate emergent behaviors and systemic vulnerabilities in financial markets
  • Evaluating and benchmarking time series transformers (Chronos2, TimesFM) for zero-shot forecasting of financial stability indicators
  • Presenting technical projects to 400+ economists and researchers across high-profile conferences and showcases
Georgetown University
Professional Development Center Assistant
September 2024 – Present  ·  Washington, DC
  • Mentor peers on technical communication, resume writing, interview preparation, and portfolio development
  • Contribute written content for the DSAN program blog and professional development materials
Research Assistant – AI Measurement & Development (AIMD) Lab
October 2024 – June 2025  ·  Dr. Qiwei (Britt) He
  • Led systematic review synthesizing VR/AR technologies with integrated data-capturing systems for educational assessment
  • Synthesized technical characteristics, psychometric measurement frameworks, and trends across published literature
City of Promise
Data Engineer Intern
October 2023 – August 2024  ·  Charlottesville, VA
  • Engineered internal database and designed a self-sufficiency matrix (16 variables, 5 category scores) to quantify the socioeconomic impact of programs on individuals and families
  • Presented database impact to Jefferson Board of Trustees (200+ attendees), earning the organization a $75,000 grant
  • Consulted leadership on data-driven strategies for community polling and data collection
Danish Institute for Study Abroad
Research Assistant
January – May 2023  ·  Stockholm, Sweden
  • Conducted dark web analysis and global expert interviews supporting a multi-year research project on illicit organ trafficking networks
  • Contributed to team systematic review and literature synthesis
World Health Organization
Research Assistant
September – December 2022  ·  Charlottesville, VA
  • Contributed systematic review research informing the rewriting of international WHO guidelines on controlled medicine policy
  • Synthesized findings from 200+ studies; reported formatted results to project lead