Experience

Predoctoral Researcher

Donders Institute for Brain, Cognition and Behaviour • Nijmegen, The Netherlands • May 2022 - Present

Study the computational principles, mechanisms and algorithms that drive learning, inference and control in neural systems and replicate these processes in synthetic agents, thereby reducing the gap between artificial and natural intelligence.

Projects: Counterfactual Assessment and Valuation for Awareness Architecture (CAVAA) • Rehabilitation Based on Hybrid Neuroprosthesis (ReHyb)

`#neuromorphic-computing`

Research Assistant

Institute for Bioengineering of Catalonia • Barcelona, Spain • Oct 2021 - Mar 2022

ROS & Arduino programming, experimental setup and data analysis for robotic projects.

Projects: Hybrid Human-Robot Recycling Plant for Electrical and Electronic Equipment (HR-Recycler)

`#arduino`

Software Developer

Fab Lab Barcelona • Barcelona, Spain • Jan 2019 - Jul 2020

Web interface for Fab Initiative projects.

Projects: Improving the Smart Control of Air Pollution in Europe (iSCAPE) • Smart Citizen • Fab City

`#esp32`

Education

PhD, Computational Neuroscience

Radboud Universiteit • Nijmegen, The Netherlands • May 2022 - Present

Computational modeling as the central methodology used to understand naturally intelligent systems, build artificially intelligent systems and improve the interactions between natural and artificial systems.

`#neuromorphic-computing`

MSc, Cognitive Systems and Interactive Media

Universitat Pompeu Fabra • Barcelona, Spain • Sep 2020 - Sep 2021

Investigate, develop and design the interactive cognitive systems of tomorrow. Results might be BCI devices, autonomous agents or sophisticated software that provides new experiences and/or virtual environments.

`#reinforcement-learning` `#supervised-learning`

Postgraduate Diploma, Digital Fabrication and Physical Computing

Institute for Advanced Architecture of Catalonia • Barcelona, Spain • Jan 2020 - Jul 2020

Distributed program directed by Neil Gershenfeld of MIT Center For Bits and Atoms and based on the MAS.863 course How to Make (Almost) Anything.

`#physical-computing` `#3d-printing` `#arduino`

Courses

Computational Neuroscience

Neuromatch Academy • 2022

`#reinforcement-learning`

Computational Neuroscience

University of Washington • 2021

`#reinforcement-learning` `#supervised-learning`

Publication

Homeostatic and Allostatic Principles for Behavioral Regulation in Desert Reptiles - A Robotic Evaluation

Living Machines 2022 - 11th International Conference on Biomimetic and Biohybrid Systems • 02-12-2022

A computational model of allostasis that can help agents adapt to unresolved fluctuations presented by an unstable environment without learning-based predictions.