Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Data Collection

Emotion Recognition

Object Detection

Segmentation

Freelancer Overview

I am a cognitive neuroscience researcher with hands-on experience labeling and analyzing complex sensory datasets, including EEG, electrobulbogram (EBG), and visual stimuli. My work at the University of Amsterdam and Karolinska Institutet has involved precise data annotation, preprocessing, and quality control for large-scale neural and behavioral experiments. I have developed proficiency in Python, MATLAB (FieldTrip, SPM12), and R for signal analysis, as well as experimental design tools such as PsychoPy and Qualtrics. My expertise bridges neuroscience and AI applications: I have applied neural decoding and deep learning models to study visual perception and sensory integration, which translates directly to structured data labeling for machine learning pipelines. I bring a rigorous, detail-oriented approach to data curation and validation, along with a strong understanding of how well-annotated data drive reliable AI models.

Labeling Experience

Education

Work History