I am a researcher at the Interactive Machine Learning team of the German Research Center for Artificial Intelligence, Robotics Innovation Center in Bremen, Germany. Before returning to Germany, I was a Marie Curie Fellow at the Ocean Systems Lab at Heriot-Watt University.
I am interested in making robots be able to “see” and perceive just as humans do. My research interests are in Deep Neural Networks, Reinforcement Learning, Uncertainty Quantification, Robot Vision, and Underwater Robotics.
I received my PhD in Electrical Engineering from Heriot-Watt University in 2019, a Master of Science Degree in Autonomous Systems from Hochschule Bonn-Rhein-Sieg in 2014, and an Engineering Degree from Universidad Tecnologica Metropolitana in 2009. I have 4 years of professional experience before starting my Masters in Europe.
My PhD Thesis deals with the problem of detecting submerged marine debris in sonar images using neural networks. I have the strong belief that we should not be polluting our oceans and bodies of water, as it is a vital element for our survival. My PhD research was developed in the context of the Marie Skłodowska-Curie Initial Training Network Robocademy which was funded by the European Commission (FP7-PEOPLE-2013-ITN, Ref 608096).
2021.05 - Talk at the Cologne AI & ML meetup (slides)
2021.02 - Talk about Mentoring LatinX people at the LXAI AAAI 2021 social event. (slides).
2020.12 - Talk on Uncertainty Quantification in Neural Networks at the Data Science Research Peru Meetup @ NeurIPS 2020. (slides)