### Felipe Tobar, Universidad de Chile

I am an Adjunct Lecturer in the Department of Mathematical Engineering and a Researcher in the Center for Mathematical Modeling, both at University of Chile.

My research interests lie mainly in the interface between Statistical Machine Learning and Signal Processing, including approximate inference, Bayesian nonparametrics, and spectral estimation. Recently, I have also become interested in computational optimal transport, natural language processing and philosophy of artificial intelligence.

**E-mail**: My first initial followed by my last name (at) dim (dot) uchile (dot) cl

**Note: this is a recent uplift of my previous website, some content might be missing until completing the full update.**
#### News

- 14 Dec 2018: I am giving a tutorial at EVIC 2018 on Bayesian Spectral Estimation
- 4 Dec 2018: I am giving a Spotlight presentation at NeurIPS 2018 on Bayesian Spectral Estimation

#### 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
- Elsa Cazelles (postdoc)
- Gonzalo Ríos (PhD, Mathematical Modelling)
- Nicolás Caro (PhD, Mathematical Modelling)
- Alejandro Cuevas (MSc, Mathematical Modelling)
- Lerko Araya (MSc, Electrical Engineering)
- Cristóbal Valenzuela (MSc, Mathematical Modelling)
- Marucio Campos (MSc, Mathematical Modelling)

Former members:
- Iván Castro, now at Biomedical Neuroscience Institute (Chile)
- Rodrigo Lara, now at DataPop Alliance (US and Chile)
- Gabriel Parra, now at Autopress (Chile)
- Romain Gouron, now at Inventiv IT (France)

#### Short Bio

Felipe Tobar received the MSc degree in Electrical Engineering from Universidad de Chile in 2010, and a PhD in Signal Processing from Imperial College London in 2014. He was then with the Machine Learning Group at the University of Cambridge as an Associate Researcher for one year. Felipe is currently with Universidad de Chile, as a Research Fellow at the Center for Mathematical Modeling from 2015 and as an Adjunct Lecturer in the Department of Mathematical Engineering since 2018. Felipe teaches both introductory and advanced courses about Probabilistic Machine Learning and his research interests lie in the interface between Machine Learning and Statistical Signal Processing, including approximate inference, Bayesian nonparametrics, spectral estimation, natural language processing and philosophy of the artificial intelligence.

Last updated: 29 December 2018

(by myself)