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.
Published in Phytofrontiers
July 2025
Submitted to Phytofrontiers
July 2025
Bachelor's Thesis in Mathematics, University of Guanajuato–CIMAT
August 2018
Computer Software - University of Wisconsin–Madison
2024
DOI: 10.5281/zenodo.17379408Midwest Machine Learning Symposium, University of Chicago
June 2025
Data Science Institute, UW–Madison
May 2025
Research Bazaar, UW–Madison
February 2025