Felipe Russi

I graduated with majors in Computer Science 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 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 am also working remotely 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 actively seeking research opportunities and PhD positions focused on using AI and computational methods for social impact, particularly in areas such as algorithmic fairness, NLP for social good, computational social science, and causal inference. I am interested in developing mathematically rigorous approaches 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.
• My first name is “Andrés” but I prefer my middle name (Felipe).
• The pronunciation of Felipe is [feˈli.pe]/”fe-lee-pe”.
• My last name is Arias-Russi.