Carolina Centeio Jorge

(pronunciation curl-ina (cent-IO) george)

Hello there! I am Carolina, born in Porto (Portugal) and graduated in Computer Science and Engineering (with a focus on Data & AI). I have recently completed my PhD at Delft University of Technology (The Netherlands). I describe myself as someone who has lived in a few places, picked up some languages, and collected many different interests. I am also a problem-solver who prefers multi-disciplinary and diverse environments. While I am happy to learn about virtually anything, I am mainly passionate about collaborative technology, human behaviour, arts and cultures. I pay great attention to detail, and I love solving all types of puzzles, especially through brainstorming.

Currently, I am a senior data scientist specialist at Glintt Next, where I focus on detecting user behavioural patterns to help deliver hyper-personalized interactions and experiences.

Resume

You can find my full CV here.

I am currently working at Glintt Next in Porto, Portugal. Between 2020 and 2025, I was doing my PhD at the Interactive Intelligence group of TU Delft, which I defended on April 1st 2026 (thesis titled Modelling Artificial Trust for Effective Human-AI Teamwork). My activities included research and teaching (mostly supervising). Besides that, I chaired my faculty's PhD council, was a member of the university's Integrity Board, among others. During my PhD, I was also a visiting researcher at the University of Michigan (Ann Arbor) for two months. Before my PhD, I earned my Master's in Informatics and Computing Engineering from the University of Porto (FEUP) in 2019, with Erasmus semesters at UPC (Universitat Politècnica de Catalunya), in Barcelona, and University of Twente, in the Netherlands. From 2019 to 2020, I had the privilege to spend a year in Tokyo as part of the EU program Vulcanus in Japan, where I interned at Omron Sinic X Corporation.

My professional goal is to support the sustainable development of science and innovation by connecting people from different knowledge fields and cultural backgrounds. Within my knowledge field, I am passionate about detecting and understanding patterns in human behaviour.

My key technical skills are Qualitative & Quantitative Research, Data Analysis & Statistical Interpretation, Programming & Technical Proficiency, AI Concepts and Applications, Behaviour Modelling & Analysis. Programming Languages: Python (inc. scikit-learn, pytorch), R, Java, C++, Javascript.

My key transversal skills are Networking & Relationship Building, Public Speaking, Scientific and Formal Writing, Leadership & Team Management, Organisational Skills & Event Planning, Critical Thinking & Problem Solving, Interpersonal Communication.

Research

My primary research interests are in behavior analysis and pattern recognition. My PhD work was highly multidisciplinary and focused on mental models in the context of human-AI teams, with the goal of enabling artificial agents (e.g., robots) to understand their human teammates and respond to them transparently and effectively. Specifically, I have been investigating the concept of artificial trust in decision-making within human-AI teamwork, particularly in modeling context-dependent human trustworthiness for collaboration scenarios. Between September and November 2024 I was a visiting Researcher at the University of Michigan (Ann Arbor).

During my BSc and MSc I conducted research at the University of Porto, INESCTEC, and the University of Twente at different stages. Then, I conducted research at Omron Sinic X Corp., in Tokyo. Throughout, most of my projects had a focus on data science and human behaviour modelling.