About
 Associate Professor, Universidad de Chile
 Director, Initiative for Data & AI
 Researcher, CMM & AC3E
Email: my first initial followed by my last name (at) uchile (dot) cl
News

1315 December 2023. Join us for our upcoming summer school: Escuela de Verano en Inteligeincia Computational EVIC.

1 November 2023. See our preprint Asynchronous Graph Generators arXiv.
Research group
My group is called GAMES (Grupo de Aprendizaje de Máquinas, infErencia y Señales). Luckily enough, and up to a minor permutation, the acronym seems to also work in English as Group of MAchine learning, infErence and Signals. Current members are
 Cristóbal Alcázar (MSc, Data Science): Guidance in difussion models
 Camila Andreas (MSc, Data Science): Optimal transport and fariness
 Joaquín Barceló (MSc, Data Science): Difussion models and RL
 Camilo Carvajal (MSc, Data Science): Safe sampling difussion models
 Juan Cuevas (MSc, Data Science): Attention networks for time series
 Diego Cortéz (MSc, Data Science): ML for genomics
 Fernando Fetis (MSc, Data Science): Difussion models
 David Molina (MSc, Math Modelling): Bayesian deep learning –waiting for viva
 Camila Pinto (MSc, Data Science): Graphical models applied to career choices in STEM
 Gianina Salomó (MSc, Data Science): LLMs for genderaware contexts
 Stefano Schiappacasse (MSc, Data Science): Audio processing for conservation of manatees
 Tomás Valencia (MSc, Math Modelling): Optimal weak transport –waiting for viva
Former members:
 Bruno Moreno, now Data Scientist at Consorcio
 Sebastián López, now at PUC
 Elsa Cazelles, now CNRS Researcher at IRIT
 Jou Hui Ho, now Data Scientist at Cero.ai
 Taco de Wolff, now Data Scientist at InriaChile
 Matías Altamirano, now Research Engineer at CMM
 Alejandro Cuevas, now Data Scientist at NoiseGrasp
 Mauricio Campos, now Data Scientist at CocaCola
 Gonzalo Ríos, now Senior Data Scientist at NoiseGrasp
 Lerko Araya, now Data Scientist at Liberty Latin America
 Iván Castro, now Data Scientist at Amazon Web Services
 Rodrigo Lara, now Data Scientist at PROSPERiA
 Gabriel Parra, now Data Scientist at AutoFact
Short Bio
Felipe Tobar is an Associate Professor at Universidad de Chile and the Director of the Initiative for Data and Artificial Intelligence of the same Institution. He holds Researcher positions at the Center for Mathematical Modeling and the Advanced Center for Electrical and Electronic Engineering. Prior to joining Universidad de Chile, Felipe was a postdoc at the Machine Learning Group, University of Cambridge, during 2015 and he received a PhD in Signal Processing from Imperial College London in 2014. Felipe’s research interests lie in the interface between Machine Learning and Statistical Signal Processing, including approximate inference, Bayesian nonparametrics, spectral estimation, optimal transport and Gaussian processes. Felipe teaches graduate courses on Machine Learning and Statistics and between 2020 and 2022 was the Coordinator of the Master of Data Science at Universidad de Chile.
Photos: Color, Colorlowres, BW, BWlowres