I am a mathematician and a Master’s student in Applied Mathematics at CIMAT, I specialize in Biomedical Signal Proccesing, Natural Language Processing, Machine Learning, Bayesian Inference and Data Science, combining mathematical rigor with practical modeling expertise to deliver data-driven solutions for real-world problems. My experience spans deep learning for text classification, scientific computing, and Bayesian inference.
Always open to collaborations in interpretable AI, biomedical computing, or scientific ML.
💼 Professional Experience:
- Research Assistence at University of Duisburg-Essen. - Research Assistant at Center for Research in Mathematics. - Data Analyst at Transmilenio S.A.🔍 Topics of Interest:
- Large Language Models (LLM) and Natural Language Processing (NLP)
- Image Processing Applications.
- Stochastic and Convex Optimization.
- Mathematical Modelling, Numerical Analysis.
- Machine Learning techniques and applications.
Expand to see my technical skills
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ECGInf: Inference of Electrocardiogram Signals
A cutting-edge project combining EEG signal processing, dynamical systems, and machine learning to study patients with ischemia.View Project (placeholder link)
Tech Stack: Python, Scikit-learn, Signal Processing Libraries
Rest-Mex: Research on Sentiment Analysis Task for Mexican Tourist Texts
View Project Tech Stack: Pytorch.
I'm always open to interesting conversations and collaboration opportunities. Feel free to reach out!
