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 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

Power iteration algorithm

By courtesy of Juan Carlos Aguilar’s Numerical Calculus course at ITAM. Context and summary of this blog post This is the first project that I did using LaTeX! The power iteratio...