Maria Oros
Data Scientist
Welcome to my personal webpage. I'm a Data Scientist at the Data Science Institute at UW–Madison, where I work on machine learning algorithms and statistical modeling under the supervision of Professor Kyle Cranmer.
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).
My interests span ML applications across diverse domains, I'm particularly interested in causal inference, bayesian stats and foundational models, feel free to reach out.
I'm passionate about building solutions that are both innovative and rigorous. I thrive in collaborative environments and contribute to a culture of excellence and growth, with work that has been recognized by colleagues and stakeholders alike.
Publications & Conferences
Publications
Meta-analytic and Economic Analysis in Soybean Production: Northwestern Region
Submitted to Phytofrontiers
July 2025
Meta-analytic and Economic Analysis in Corn Production
Submitted to Phytofrontiers
July 2025
Hamiltonian Systems and Applications
Thesis to major in mathematics
August 2018
Conference Presentations & Workshops
Meta-analytical application and Open Source Tools in Agriculture
Midwest Machine Learning Symposium, University of Chicago, IL
June 2025
View PosterCan LLMs be anomaly detectors?
Data Science Institute Internal Reading Group, University of Wisconsin–Madison
May 2025
An open-source crop disease forecasting tool
Research Bazaar, University of Wisconsin–Madison
February 2025
View PresentationThe Data Science Institute Services
El Zoominario at the Plant Pathology Department, University of Wisconsin–Madison
September 2024
Meta-analytic and economic approaches in corn research
Research Bazaar, University of Wisconsin–Madison
February 2024
The Metropolis Hasting Algorithm
Data Science Institute Internal Reading Group, University of Wisconsin–Madison
December 2023
Advanced topics in mathematical physics
Aquelarre Matemático, Autonomous National University of Mexico (UNAM), Mexico City
October 2018
Watch VideoLeadership & Service
Organizational Committee Member
National Elementary and Middle School Mathematical Olympiad Program (ONMAPS)
January 2015 – June 2018
Served on the organizational committee for ONMAPS in Guanajuato state. Designed, administered, and evaluated selection examinations; trained selected students; and conducted professional development workshops for educators across multiple school districts.
Science Education Volunteer
Educational Extension Department, CIMAT
January 2012 – December 2014
Volunteered with the Mathematics Educational Extension department (Matemorfosis) at CIMAT. Designed and delivered interactive mathematics workshops for K-12 students throughout Guanajuato state, promoting mathematical literacy and scientific engagement.
Technical Expertise
Interest
- Machine Learning
- Statistics/Socio economic analysis
- Bayesian Statistics
- Anomaly Detection
DL Frameworks
- TensorFlow
- PyTorch
Tech Stack
- AWS
- Docker
- Git/GitHub
- CI/CD
Programming Languages
- Python
- R
- SQL
- SAS
- Web Development (HTML/CSS/JavaScript)
Professional Experience
- Data Science Institute at UW-Madison
- Bisonic Inc (California, EU)
- BBVA (Mexico-Spain)
- Aprende Institute (Florida, EU)
- TrueHome (Mexico City)
Featured Projects
Dynamical Systems Research
Speaker at UNAM Mexico Science Seminar, presenting topics of theoretical physics.
Agricultural Forecasting System
An open-source tool for predicting crop disease risks using machine learning models, providing actionable insights for agricultural decision-making.
Statistical Meta-Analysis
Developed a statistical meta-analytic model to evaluate fungicide applications under causal inference from 4-year CRBD studies performed in USA and Canada. Submitted to Frontiers in Plant Science.
Economic ROI Calculator
Developing economic inference models to assess fungicide profitability in soybean production.
Soil Organic Carbon Analysis
Machine learning research studying soil property associations with soil organic carbon stocks, contributing to sustainable agriculture practices. Professor Jingyi Huang Ph.D.