Skip to content
View laurauguc's full-sized avatar

Block or report laurauguc

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
laurauguc/README.md

Hi there! 👋 I'm Laura Uguccioni

🎓 Data Scientist | Machine Learning Engineer | AI Innovator

I’m passionate about the intersection of technology, social science, and ethics. My journey has taken me from academic training in quantitative social science to managing data science teams and diving into hands-on engineering. I'm committed to building socially responsible tools and mentoring future innovators. Recently, I’ve focused on AI-driven tools for education and further exploring the mathematics of model building.


🔭 What I'm Working On

🌟 GradeMateApp Development
An AI-powered app designed to assist teachers with grading by providing insightful recommendations. I built the backend using python and Django and integrated it with the React frontend, built by my friend Ksenia. We are working with QMSS Innovation Lab to exapnd this project and developing a freemium model that offers a free basic tier for individual educators and a premium version for schools, complete with enhanced features and integrations.

🤖 GradeMate with LlamaMachine Learning Research
This project extends GradeMate, focusing on improving grading accuracy through model fine-tuning. I’m leading efforts to fine-tune open-source LLMs for tasks like scoring, providing justifications, and generating feedback. My work involves implementing fine-tuning and refining orchestration and evaluation processes to ensure reliable, high-quality outputs.


🧠 Skills & Expertise

Programming & Libraries

  • Python: Scikit-learn, LangChain, Matplotlib
  • R: Tidyverse, RStan, stats
  • ML Frameworks: PyTorch, TensorFlow

Areas of Interest

  • Natural Language Processing (NLP)
  • Machine Learning Engineering
  • Bayesian Statistics
  • AI Ethics

🌱 Past Projects and Contributions

  • Cross-Voting Election Patterns
    GitHub Repository

  • Bayesian Time Series Analysis with Stan
    GitHub Repository

  • A Human-Machine Collaboration to Avoid Wrongful Incarceration
    TEDx Talk

  • Twitter Sentiment in New York City Parks as a Measure of Well-Being
    ScienceDirect Link

  • Indebted to Work: Bondage in Brick Kilns
    Springer Link

  • Using a Glacier Website to Promote Action and Build Community
    JStore Link Contributed Chapter 12 in the book: Climate, Capitalism, and Communities: An Anthropology of Environmental Overheating

  • Research on Food Deserts
    Project Report


📫 Let's Connect!

  • LinkedIn: Laura Uguccioni
  • GitHub: You’re here! Check out my repos to see what I’ve been working on.

I’m always open to collaborating on projects that push the boundaries of AI and ML in impactful ways. Let’s connect and build something meaningful together!

Pinned Loading

  1. grading_assistant grading_assistant Public

    Gemini-powered Grading Assistant aids teachers in grading written work. Teachers can apply pre-designed rubrics or upload their own.

    JavaScript 4

  2. cross-voting cross-voting Public

    Jupyter Notebook

  3. llama_grading llama_grading Public

    Jupyter Notebook 2 2

  4. Food-Deserts-in-Mississippi Food-Deserts-in-Mississippi Public

    GIS and Spatial Analysis Project

  5. GlacierHub-data-analysis GlacierHub-data-analysis Public

  6. Social-Media-Interface-and-the-Next-Generation-Cognitive-Mapping-in-New-York-City Social-Media-Interface-and-the-Next-Generation-Cognitive-Mapping-in-New-York-City Public

    Jupyter Notebook