Joaquin Alvarez

Thank you for visiting my personal website! I am interested in reliable machine learning, particularly in distribution-free uncertainty quantification and conformal inference. More broadly, I am excited about the idea of building trust in predictive algorithms in a black-box manner, with a formal data-driven perspective. I studied applied mathematics at ITAM in Mexico, where I was fortunate to be guided by Miguel Angel Mota. Outside of research, I enjoy yoga 🫀, poetry and walking. Feel super free to reach out :)