CV [pdf]

Email: p[1st last name][2nd last name]

About me

I am a second-year PhD student in computer science at Harvard University, advised by Prof. Milind Tambe. My research interests lie broadly at the intersection of artificial intelligence, social impact, and public policy. I am interested in the use of computational and mathematical methods to address global development challenges that can assist in the design of evidence-based public policies.

I hold a B.Sc. in Mathematics and a B.Sc. in Industrial Engineering from Universidad de Los Andes in Bogotá, Colombia. I was a Data Science for Social Good (DSSG) Fellow at The Alan Turing Institute in 2020 and a Student Undergraduate Research Fellow (SURF) at Cornell University in 2018. I Co-founded and currently co-organize the Centro de Analítica para Políticas Públicas (CAPP; Center of Analytics for Public Policy); a research initiative that aims to contribute and encourage research and development of mathematics, data science, and AI for the public sector in Colombia and Latin America. I also co-organizer the Machine Learning for the Developing World (ML4D) Workshop.


Rigorously Reviewed Publications

Peer Reviewed Workshops

Other Publications

Talks and seminars

  • LatinX in AI @NeurIPS 2019: Efficient allocation of law enforcement resources using predictive police patrolling. [link to video]
  • WiDS Bogota 2020: Using AI as a tool for public security: predictive police patrolling and disrupting human trafficking. (in Spanish) [link to video]
  • Atarraya Uniandes: Data Science for Real-World Problems. (in Spanish) [link to video]
  • Quantil Applied Mathematics Seminar: Spatio-temporal models with street-level image features for robbery modeling. (in Spanish) [link to video]


News Coverage

  • IBM DataJam 2019 Winning Project. With technology, young people propose strategies to fight human trafficking, El Espectador. (in Spanish)
  • DSSGx UK at The Alan Turing Institute: People Spotlight.

Enjoy some of my favorite Colombian landscapes. All pictures are taken by me (or to me).
Enjoy the view!