HELLO
I started my PhD at KTH Royal Institute of Technology in July 2018, under the supervision of Profs. Bo Wahlberg and Alexandre Proutiere. I have been working with a variety of problems concerning decision-making in dynamical systems, including forward and inverse problems in adversarial, cooperative, and biological settings. You can find my Ph.D. dissertation on these topics here.
MY STORY
Ph.D. degree
Exchange @ UC Berkeley
Best Paper Award
Teaching
WASP
System Identification
Ph.D. studies @ KTH
M.Sc. degree @ IST
Champalimaud Foundation
Erasmus @ NTNU
Internship @ Gulbenkian Science
In November 2023 I successfully defended my Ph.D. dissertation, titled "Learning from Interactions: Forward and Inverse Decision-Making for Autonomous Dynamical Systems"
In Spring 2021 I was an exchange visitor at the University of California, Berkeley, within the group of Professor Shankar Sastry at the BAIR (Berkeley Artificial Intelligence Research) center. I am part of the C3.ai DTI program and was granted funding by WASP.
Winner of the Best Paper Award at IEEE ICDL-Epirob 2020.
I have been a TA for the Automatic Control course from 2019 to 2021, for the Reinforcement Learning course in 2022, have supervised one Master Thesis and two Bachelor projects, and am one of the responsibles for the water-tank lab.
I became an affiliated student of the Wallenberg AI, Autonomous Systems and Software Program (WASP), where I belong to batch 1 of the WASP AI MLX (eXplainable Machine Learning) track. Within my batch, I belong to the Machine Learning, Deep Learning, and other AI cluster, and have taken the courses Deep Learning and GANs, and Graphical Models, Bayesian Learning, and Statistical Relational Learning. As a part of WASP, I have also attended two Winter Conferences, a Summer School, an International trip, and a WARA-PS Research Arena demo.
I was funded by the research environment New Directions in Learning Dynamical Systems (NewLEADS), and as a part of the System Identification group I have attended the 18th IFAC Symposium on System Identification (SYSID 2018) and three European Research Network System Identification (ERNSI) workshops (2018, 2019, and 2021).
In 2018 I was awarded the KTH Electrical Engineering Scholarship of Excellence and moved to Sweden to start my PhD in the division of Decision and Control Systems, department of Intelligent Systems of KTH Royal Insitute of Technology.
In 2018 I received the Masters degree in Electrical Engineering and Computer Science from Insituto Superior Técnico, Lisbon, Portugal, with a grade of 17.5/20 in the major specialization area of Decision Systems and Control and minor in Software Engineering.
My Master thesis was done in collaboration with Joe Paton's Learning lab at the Champalimaud Foundation, where we worked in the intersection of Robotics, Machine Learning and Neurosciences.
On the first year of my Masters I did Erasmus in NTNU, Norway (5 months), and wrote my Master thesis in Tokyo, Japan (9 months).
2 months internship in Gulbenkian Science, at Lounes Chikhi's Population and Conservation Genetics group during summer 2017.