Lucas Gomez Tobon

Research in applied ML for Social Good ⇆ Applied math ⇆ Teaching.


I hold a Master’s degree in Economics from Universidad de los Andes. My thesis, titled “Perreology: Leveraging Music in Statistical Analysis”, utilized Convolutional Neural Networks (CNNs) to derive vector representations of music. This methodology informed the development of two applications. The first predicts the likelihood of a song ranking among the top 50 tracks in Colombia with a recall of 69%. The second application shows that the musical embeddings of the monthly top 50 songs in Colombia can explain up to 82% of the variability in the Consumer Confidence Index.

A demo of the predictive application is available here.

I currently serve as an Adjunct Professor at Universidad de los Andes, offering courses on machine learning and game theory. Additionally, I hold the position of Deputy Director of the Data Mining Department at Quantil.


Oct 31, 2023 Mentored an educational intervention in a Mexican indigenous community as part of the REDNACECYT-MD4SG Summer of Science program
Oct 9, 2023 The research paper titled ‘Modelling Underreported Spatio-Temporal Crime Events’ has been accepted for presentation at the XV Latin American Congress of Statistical Societies (CLATSE), where I will be the speaker.
Sep 22, 2023 Launched the tidyX package to facilitate text preprocessing for running NLP models.
Jul 26, 2023 Juan Carlos Echeverry, former Minister of Finance and former President of Ecopetrol, discussed our research 'Modelling Underreported Spatio-Temporal Crime Events' on Caracol Radio

selected publications


  1. modelling_underreported_crime.png
    Modelling underreported spatio-temporal crime events
    Álvaro J. Riascos Villegas, Jose Sebastian Ñungo, Lucas Gómez Tobón, and 2 more authors
    PLOS ONE, 2023


  1. spectogram.gif
    Perreology: Leveraging Music in Statistical Analysis
    Lucas Gómez Tobón