Kai Bakker
BSc Human Physiology, Genetics & Psychology (Final Year)
Final-year Bachelor of Science student majoring in Human Physiology, Genetics, and Psychology, with a genuine interest in how neurological systems function. I am particularly interested in how biological information is processed, organised and interpreted within complex systems and how these processes can be analysed and modelled scientifically. I enjoy working in structured environments that value accuracy, curiosity, and continuous learning. I would like to further my studies in the neurological field and aim to obtain a PhD in neuroscience.
Alongside my studies, I have gained practical experience through independent project development and part-time IT tutoring.
Education
Bachelor of Science (BSc)
Majors: Human Physiology, Genetics & Psychology
Relevant Coursework: Neurophysiology, Human physiology, Genetics, Behavioural science, Research
methods and scientific data interpretation.
Projects
NeuroSight – Research-Oriented EEG Analysis Platform (v0.1.0)
- Designed and developed a high-fidelity EEG visualization and analysis platform integrating a React (Canvas-based) frontend with a Python-based digital signal processing (DSP) backend.
- Built an artifact-aware interpretation engine that detects and classifies common EEG artifacts (e.g., ocular and motion artifacts) and dynamically adjusts confidence in neural analyses based on probabilistic signal contamination.
- Implemented spectral feature extraction (Welch power spectral density) and spatial metrics (frontal/posterior ratio, hemispheric asymmetry) to support interpretable neurophysiological analysis.
- Engineered a fully decoupled, lazy-loaded architecture enabling constant memory usage with smooth, high-resolution navigation across multi-hour EEG datasets (EDF/BDF).
- Introduced confidence-aware interpretation, ensuring transparent analysis by scaling inference reliability based on detected artifact contamination in EEG signals.
Organic Archive – Independent Educational Platform
- Designed and developed an educational platform to organise and visualise complex scientific content ,improving conceptual understanding.
- Structured complex scientific information into a clear, searchable and logically organised format for students.
- Implemented molecular visualisation tools and designed a custom Lewis structure drawing engine.
- Demonstrated system-level thinking, independent problem-solving and long-term prodject management.
Experience
Information Technology Tutor
- Provided one-on-one and small-group tutoring in Information Technology concepts, logical problem-solving and applied systems.
- Guided students in breaking down complex technical problems into structured, manageable steps.
- Adapted explanations to different learning styles to support conceptual understanding and confidence.
- Demostrated clear technical communication, structured thinking, and consistency in an academic teaching context.