Maria Oros

Data Science & Stats

I am a Data Scientist at the Data Science Institute at UW–Madison, where I develop machine learning methods and statistical models for real-world decision-making.

My research interests include causal inference, Bayesian statistics, and foundation models, with an emphasis on translating theory into practical, impactful applications.

I hold a degree in Mathematics from a joint program between the University of Guanajuato and CIMAT.

I am dedicated to advancing data science through open and inclusive collaboration. By fostering an environment where every contributor feels valued, I lead teams to build data-driven solutions that accelerate research and deliver measurable impact.

Professional recommendations

Publications & Research

Selected Publications

Full list on Google Scholar: Open Google Scholar

Conference Presentations & Talks

Poster

Meta-analytical application and Open Source Tools in Agriculture

Midwest Machine Learning Symposium, University of Chicago

June 2025

Talk

Can LLMs be anomaly detectors?

Data Science Institute, UW–Madison

May 2025

Lightning

An open-source crop disease forecasting tool

Research Bazaar, UW–Madison

February 2025

Video

Research Presentation - YouTube

Public Research Talk

2024

Watch Video

Technical Expertise

Research Interests

  • Causal Inference
  • Bayesian Statistics
  • Machine Learning
  • Meta-Analysis

Programming

  • Python
  • R
  • SQL
  • SAS

Cloud & DevOps

  • AWS
  • GCP
  • Docker
  • Git/GitHub

Featured Projects

Forecasting Tool

Agricultural Forecasting System

Open-source tool for predicting crop disease risks using ML models.

ROI Calculator

Economic ROI Calculator

Economic models for fungicide profitability assessment.

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