I am a Ph.D. candidate in Theoretical Physics at the UAM-Iztapalapa in Mexico. I am currently interested in the intersection of high-energy physics and cosmology, and I am pursuing a parallel line of research in data science and machine learning. I am interested in applying rigorous quantitative thinking—the kind developed through the study of physics—to real-world machine learning systems and quantitative finance.
- Primordial non-gaussianities
- Gravitational particle production
- Multi-field inflation
- Neutron stars
- End-to-end Data Pipelines (ETL)
- Machine Learning algorithms applied in finance
- Time Series Forecasting
- MLOps
ML Engineering · MLOps · Quantitative Finance
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