I'm a PhD student studying how Artificial Intelligence and Extended Reality can support decision-making, accessibility, and training in real-world settings.

I'm a PhD student in Computer Science at Louisiana State University, advised by Dr. Felipe Fronchetti in the RISE Lab and working in collaboration with LSU Health. My research interests include applied AI, machine learning, LLM behavior, computational social science, and civic technology. My current work looks at AI and extended reality in medical procedural training.

I earned my B.S. in Computer Science from LSU's Roger Hadfield Ogden Honors College with a concentration in Data Science and Analytics and a minor in Mathematics. As an undergraduate, I worked as a Student Software Developer at LSU's Center for Analytics and Research in Transportation Safety (CARTS), building full-stack applications over large relational datasets.

Beyond the lab, I'm interested in what happens when Artificial Intelligence meets the systems people actually use. That includes Artificial Intelligence for civic engagement, like making legislation, elections, and news bias easier for the public to understand; machine learning in sports, from valuing collegiate athletes to modeling performance; and intelligent devices for healthcare, such as prosthetics that monitor patient vitals. Across all of it, my goal is research that helps people make better decisions and reaches beyond the paper.

  • Applied AI
  • LLM Behavior
  • Extended Reality
  • Computational Social Science
  • Civic Technology

Research

Systematic Mapping Study · In progress

AI and XR in Medical Procedural Training

A. Harvey, F. Fronchetti

A PRISMA-aligned systematic mapping study on the joint use of AI and extended reality technologies in medical procedural training, co-authored with Dr. Felipe Fronchetti. Covers four databases (IEEE Xplore, ACM DL, Embase, PubMed) with two-reviewer screening supplemented by a local LLM consistency pass, and maps the literature by clinical domain, AI and XR technology, evaluation type, and level of human intervention.

  • Systematic Review
  • LLM-Assisted Screening
  • LaTeX / ACM
  • Python

Independent Research

Intelligent Prosthetics for Remote Patient Monitoring

A two-part research paper: a PRISMA-aligned systematic mapping study of AI in prosthetics, followed by the gap-driven design of a prosthesis that extracts vital signs (heart rate, respiratory rate, SpO2, cuffless blood pressure) from arterial pulse signals using a 1D CNN and sequence model with IMU-conditioned motion artifact handling. Built a parametric 3D prosthetic model in Blender via Python to document sensor placement at the brachial pulse site.

  • Deep Learning
  • Signal Processing
  • Blender / bpy
  • Python
  • LaTeX

Undergraduate Honors Thesis

The Agora: Civic Intelligence Platform

A full-stack civic intelligence platform combining live political data with LLM-driven analysis. Features LegisLens (RAG-based legal research over ChromaDB with a custom bias lexicon), a Media Bias Analyzer, an interactive D3 news map, an electoral data dashboard, and a Congress.gov bills scraper feeding legislative analytics.

  • React
  • TypeScript
  • FastAPI
  • ChromaDB
  • PostgreSQL
  • Google Cloud Run
Demo

Selected Projects

NowIL

A longitudinal NIL valuation platform for collegiate athletes, currently in active development as a real product. Tracks and dynamically projects estimated NIL values from live in-game performance using Playwright data collection, a PostgreSQL/SQLAlchemy backend, PyTorch LSTM and XGBoost models tracked with MLflow, and a FastAPI service layer.

What-If Sports

A multi-task deep learning NIL valuation simulator for Division I men's basketball and a counterfactual companion to NowIL. Pairs a BiLSTM with attention against a multi-task Transformer with a shared encoder and separate classification and regression heads. XGBoost won on raw accuracy, while the Transformer achieved superior calibration (ECE 0.029).

Code

Same Image, Different Answer: Do vision-language models change their mammogram reading when only the prompt changes?

Tests whether open vision-language models change their mammogram readings on CBIS-DDSM when only the prompt context changes.

Code

Tetris ML Arena

A Python game where a human plays Tetris side by side against machine learning and deep learning agents.

Code

Experience

  1. Aug 2026 · In progress

    PhD Student, RISE Lab

    Louisiana State University

    Conducting research on applied AI and LLMs under Dr. Felipe Fronchetti, in collaboration with LSU Health. Leading a systematic mapping study on AI and XR in medical procedural training and designing a VR user study.

  2. Sep 2025 to Jan 2026

    Student Software Developer, CARTS

    Louisiana State University

    Developed and tested full-stack applications using C#, JavaScript, SQL, and front-end frameworks. Managed large relational datasets and contributed to software support and enhancement for transportation safety research.

  3. Nov 2024 to Dec 2025

    Chapter President, Delta Zeta Sigma Chapter

    Baton Rouge, LA

    Led 400+ members, ran Executive Council meetings, planned events, managed budgets and contracts, and ensured chapter alignment with national standards.

    Working paper: Reformulating Release Figure Methodology: A Multi-Objective Approach to Equitable Chapter Outcomes in Structured Sorority Recruitment. Formalizes how sorority recruitment sets each chapter's invitation counts as a constrained optimization problem, and proposes a reformulation that reduces outcome gaps between high- and low-demand chapters.

    PDF

  4. Jul to Sep 2024

    Legal Clerk Extern, 19th Judicial District Court

    Baton Rouge, LA

    Collaborated with Judge Kelly Balfour and staff on legal proceedings, document preparation, and case research.

  5. Aug 2022 to May 2024

    Men's Basketball Manager, LSU

    LSU Men's Basketball

    Managed team statistics, assisted coaches with recruitment and footage gathering, maintained equipment, and supported player conditioning.

Honors

  • Board of Supervisors Scholarship
  • LSU Alumni Scholar
  • College Honors, Roger Hadfield Ogden Honors College (2026)

Skills

Programming Languages

Python, TypeScript / JavaScript, C / C++, C#, Java, SQL, HTML / CSS

AI & Machine Learning

PyTorch, XGBoost, RAG Pipelines, LLM Integration & Evaluation, ChromaDB / pgvector

Frameworks & Platforms

React / Vite, FastAPI / Django, .NET, PostgreSQL / SQLAlchemy, Apache Spark / HDFS, Firebase / Google Cloud, Git & GitHub

Research Methods

Systematic Mapping Studies, User Study Design, Usability & Accessibility Evaluation, Data Analytics, LaTeX / Overleaf

Languages English (Fluent), Spanish (Proficient), German (Beginner)

Contact

I'm always open to discussing research collaborations, applied AI projects, or ways to build technology with real-world impact.