Felipe Russi

I graduated with dual majors in Computer and Systems Engineering and Mathematics from Universidad de los Andes. My interests include statistics, optimization, and applying data science, machine learning, or reinforcement learning across various fields, especially in healthcare, accessibility, and human-robot 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.

Currently, I am seeking research and PhD opportunities focused on the responsible and socially impactful use of AI, including algorithmic fairness, NLP for social good, computational social science, and causal inference. I am particularly interested in developing mathematically rigorous frameworks and computational methods that address challenges in Latin American contexts and vulnerable communities.

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.