I build reproducible research software for EEG, sleep, behavioural experiments, and neurodata quality control. I have a Master's degree in Psychology with Distinction from HSE University's Cognitive Sciences and Technologies programme, with training in EEG/ERP methods, neuroimaging, neural modelling, statistics, and experimental design.
I am open to PhD, predoctoral, and research-assistant opportunities in Vienna.
- NeuroData Release Security Audit — local, read-only privacy-metadata and integrity checks for neurodata release candidates; current status: public beta
v0.2.0b1. - Sleep-EEG staging evaluation — external evaluation of YASA on 20 Sleep-EDF recordings and 28,259 aligned epochs; current release:
v0.3.1with a Zenodo DOI. - Dense-EEG stop-signal pipeline — reconstructed QC, event handling, and preprocessing for 129-channel stop-signal EEG; active development continues after release
v0.1.0. - Neural dynamics models — tested simulations of equilibrium potentials, conductance dynamics, spiking networks, and graph topology; current release:
v0.1.0. - OpenSesame visual-world demo — an eight-trial auditory visual-world software demonstration using generated stimuli; current release:
v1.0.0.
Merged
- BIDS schema warning for behavioural files with onset and duration.
- MNE ecosystem documentation and validation for OpenBLAS threads, tracking-system metadata, rest epochs, nested BIDS roots, and decoding with too few epochs.
- SleepECG contributions covering external actigraphy inputs and repeated searchback scans in unusable ECG segments.
Open
- Parallel manual and automated sleep-stage annotations in BIDS/HED.
- CAP Sleep Database reader for SleepECG.
- EEGLAB epoch-event mapping after dropped epochs.
- Manual EEG review checklist for MEEGqc.
Python, MNE, pandas, MATLAB/EEGLAB, OpenSesame, BIDS/HED, EEG quality control, event reconstruction, manual-versus-automated sleep annotation, and numerical simulation.