Master’s thesis: Developed a bottom-up, area-based model to estimate the energy consumption and CO₂ emissions in EU data centers. Included geospatial clustering, scenario analysis, and policy implications.
Geospatial analysis for #DataFestGermany2025 at Ludwig-Maximilians-Universität München. We explored how spatial inequality and migration intersect in housing access across Germany, visualizing disparities in living space and their links to income, regional divides, and environmental variables. This project won the Best Visualization prize.
Used Natural Language Processing to analyze over 400 public consultation submissions on the EU AI Act, focusing on climate and environmental risks.
Spatial analysis and modeling of police-related deaths in São Paulo using census, income, and incident data. I was responsible for the data visualization and the spatial regression models.
Developed and evaluated machine learning models to predict self-reported job discrimination among immigrants and minorities across Europe, using the EU-MIDIS II survey. I was responsible for building, tuning, and interpreting the ML classification models.
Full-stack web app for tracking and settling debts between users. Built for Data Structures & Algorithms (2024), the app features a dynamic transaction network, debt tracking, and PayPal payment links. I led the frontend development and visualizations.
I coordinated this national report analyzing impunity levels in intentional homicides and femicides in Mexico. Between 2016 and 2021, only 7 out of every 100 intentional homicides led to a conviction, and less than half of registered femicides were solved.
I led and coordinated this nationwide assessment of digital transformation across Mexico’s 32 state prosecutors’ offices. The project developed a methodology to measure progress in areas like digital platforms for complaints, case management systems, data-driven analysis, and cybersecurity.
In my first research collaboration as research assistant, I contributed to this report mapping homicide “hotspots” in Mexico City. The study identified priority zones for intervention and produced practical recommendations for targeted policing and urban policy.