I am a Cognitive Neuroscience PhD Candidate at The George Washington University studying error-related behavior and performance dynamics. My research focuses on predicting when mistakes occur and understanding how behavior changes before and after errors.
I work with large-scale behavioral datasets and apply advanced statistical modeling, linear mixed-effects models, and machine learning to build predictive models of errors. My broader goal is to uncover how systematic behavioral adjustments shape performance and to move error research from describing patterns to predicting them.
- R, Python, JavaScript
- Machine Learning, Linear Mixed-Effects Modeling, Data Visualization
- Predicting errors using trial-level behavioral data. See my analysis pipeline here: error-prediction
- Examining pre-error speeding and post-error slowing in large-scale datasets. See my analysis pipeline here: prepost-error-dynamics-lme
- Cursor trajectory analyses in visual search tasks for time-resolved error prediction using random forest models
See the full list here.
Before starting my PhD, I was a professional Taekwondo athlete competing at the international level:
- 🥇 Fin-Weight European Champion
- 🥈 Fin-Weight U-21 Vice-European Champion
- 🥋 Member of the Olympic Team for the 2015 European Games & Olympic Qualification Team for the 2016 Olympic Games
- 🌍 Ranked #6 in the world (seniors) and #1 in the world (juniors, U-18)
- 🇩🇰 9× National Champion in Denmark
- 🏆 24 gold, 8 silver, and 10 bronze medals from World Class Taekwondo professional tournaments
This experience shaped my interest in performance under pressure and continues to inspire my research into error-related behavior and recovery.
- 📫 How to reach me: Email