Felipe Russi

I graduated with dual majors in Computer and Systems Engineering and Mathematics from Universidad de los Andes. My research focuses on statistical learning and optimization methods for understanding uncertainty, structured dependencies, and reliability in AI systems deployed in human-centered and socially impactful domains such as healthcare, accessibility, and human–computer interaction.

In Mathematics, I was advised by Mauricio Junca, working on Variational Inference and Optimal Transport. I continue collaborating with Rubén Manrique on Natural Language Processing applied to biomedical texts. I also worked with Angelique Taylor at Cornell Tech’s AIRLab, developing interfaces for tele-operating robots with the goal of using them in medical environments.

I am particularly interested in statistical learning, causal inference, and computational optimization methods that enable principled evaluation and improvement of AI systems operating in complex real-world human settings.

contact & more:

email (academic): af [dot] ariasr [at] uniandes [dot] edu [dot] co

email (personal): felipea2811 [at] gmail [dot] com

• In my free times, I like to watch movies.
• The pronunciation of Felipe is [feˈli.pe]/”fe-lee-pe”.
• My last name is Arias-Russi.