Neuroscience workshop in Trieste
It was an amazing experience to attend to the neuroscience workshop! I’ve been fascinated to discover connections between how the human brain learns and how machines learn. I was im...
Joaquin Alvarez
Thank you for visiting my personal website! I obtained my BS in applied mathematics at ITAM in Mexico. I've been fortunate to receive guidance and mentorship from professors Miguel Angel Mota, Mauricio Romero and Edgar Francisco Roman-Rangel. I am interested in rigorous cutting-edge statistical tools and frameworks for reliable machine learning, such as distribution-free uncertainty quantification. More broadly, I am excited about applications of probability and statistics in machine learning and AI. I would be thrilled to be part of a research community to collaborate with inspiring people. Feel free to reach out and check my research!
Blog posts
Predicting crimes in Boston
This is joint work with my colleagues Diego Velazquez and Marcelino Sanchez. This is a summary of a project work for the Advanced Regression Analysis course at ITAM. In this blog...
Reflections about Bentkus inequality
Photo by Seyfettin Dincturk. In honor to Vidmantas Bentkus. Context In 2005 Vidmantas Bentkus introduced a novel probability concentration inequality. Astonishingly, this inequa...
Predicting traffic in the New York City Subway
This is joint work with Julieta Rivero and Rodrigo Villela. In this blog post you can find a summary of our project at ITAM where we used linear regression models to make predict...
Simulation with the Bootstrap
The context of what we are doing to do The purpose is to illustrate the Bootstrap. This is a very powerful and useful technique with many applications. In order to develop the ide...