Maria Oros

Data Scientist & Statistical Researcher

I am a Data Scientist at the Data Science Institute at UW–Madison, where I develop advanced machine learning algorithms and statistical models, honored to be mentored from Professor Kyle Cranmer. My work focuses on statistics and machine learning applications.

My research interests encompass causal inference, Bayesian statistics, and foundation models. I specialize in developing rigorous statistical frameworks that bridge theoretical advancements with practical applications, enabling data-driven decision-making across diverse domains.

Prior to joining UW–Madison, I majored in Mathematics through a joint program between the University of Guanajuato and the Center for Research in Mathematics (CIMAT), where I investigated topics of mathematical physics.

I am passionate about building innovative solutions that drive scientific discovery and deliver measurable impact. I thrive in collaborative environments and have a proven track record of publishing research, delivering conference presentations, and contributing to open-source tools that advance the scientific community.

Professional recommendations

Publications & Research

Publications

Published

Meta-Analytic and Economic Evaluation of Fungicide Programs Applied for Managing Sclerotinia Stem Rot in Soybean Across the North-Central United States

Hope Reinforest, Ph.D., Maria Oros, Damon Smith, Ph.D.

Published in Phytofrontiers

July 2025

Meta-analytic and Economic Analysis in Corn Production

Nabin Kumar, Ph.D., Maria Oros, Damon Smith, Ph.D.

Submitted to Phytofrontiers

July 2025

Book Chapter

Olimpiadas Matemáticas Guanajuato

Maria Oros (Contributor)

Mathematical Olympiad Problems Collection

2018

Published

Hamiltonian Systems and Applications

Maria Oros

Bachelor's Thesis in Mathematics, University of Guanajuato–CIMAT

August 2018

Software & Tools

Software

UW–Madison Open Source Program Office Survey

Cranmer, K., Kittinger, A., Baumann, I., Oros, M., Philbrick, B., Feickert, M.

Computer Software - University of Wisconsin–Madison

2024

DOI: 10.5281/zenodo.17379408

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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