● Cognitive Scientist · Data Scientist · Team Leader
Between minds
and machines.
Analytical Cognitive Scientist and Team Leader with a proven track record of managing teams of over 15 staff and optimizing operational workflows in high-pressure environments. I combine deep critical thinking with technical proficiency in Python and C++ to solve complex organizational challenges and drive efficiency. Currently advancing my expertise through a Master's in Data Science, my ambition is to bridge the gap between human behavior and data-driven decision-making.
Based
Sweden
Now
MSc Data Science
Selected work.
2026
Pedestrian Crossing Prediction (Explainable AI)
Short-horizon prediction of pedestrian crossing-corridor entry using real-world trajectory data from Viscando (Gothenburg).
2025
ASD Classification from fMRI Connectomes
Mini-project comparing SVM (vectorized connectomes) and Graph Convolutional Networks (GCN) for classifying Autism Spectrum Disorder from resting-state fMRI.
2025
Multivariate Time-Series Anomaly Detection — Jena Climate
LSTM and 1D-CNN autoencoders for spike and drift detection in multivariate sensor data.
Recent writing.
- 2026
Explainable Short-Horizon Prediction of Pedestrian Crossing-Corridor Entry Using Trajectory and Interaction Features
Master's Thesis — University of Skövde · Data Science
Data Science - 2025
The impact of different verbalization protocols on insight problem solving in spatial and verbal domains
Master's Thesis — Lund University · Cognitive Science
Cognitive Science - 2024
Interactive History with VR and AI: Winston Churchill as a Teachable Agent
Course project — Lund University
Cognitive Science - 2024
Putting Words in Each Other's Mouths: Investigating the Inferential Model of Speech Production
Course project — Lund University
Cognitive Science
Let's connect.
Open to collaborations, roles, and conversations in cognitive science and data science. Find me here, or send a message.