Computational Math & Bayesian Statistics Ph.D. | Data Science, Machine Learning & AI, Web3, Quant Trading, Algorithms, Cloud Architect, APIs and Automation.
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Education:
B.S: Pure Mathematics (minor in Computer Sciences) - University of Puerto Rico.
Honors: Magnacumlaude
M.Sc: Applied Mathematics (Major in Probability and Statistics) - University of Puerto Rico (Rio Piedras).
Honors: Sumacumlaude
Ph.D.: Computational Mathematics - University of Puerto Rico (Rio Piedras).
Honors: Sumacumlaude
Master Thesis: Model selection for the mass distribution of a star-forming region in the Milky Way using the Expected posterior Prior approach.
Doctoral Dissertation: A Universal Robust Bound for the Intrinsic Bayes Factor.
Advisor: Dr. Luis Raul Pericchi
My main research interests are Machine learning (Neural Networks and Others), Bayesian Statistics, Real & Complex Analysis, and Number Theory. I'm currently working on several kinds of research related to Bayesian Analysis and Prime numbers.
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