Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
MEGaNorm is a Python package for normative modeling on MEG and EEG data.
SimEthica - testing ethical obligation with artificial agents
Normative modelling code to go along with Bethlehem et al. 2018
Morpometric and gradient based analysis of Tinnitus
Support vector machine model predicting BMI deviation in psychiatric populations. Trained on N=1,504, validated on N=559 (SCZ/CHR/ROD). Multi-site pipeline with clinical measure integration. Published research code.
Multivariate Normative Modeling Kit
Multimodal sensor fusion (sEMG, AMG, Kinematics) & normative Isolation Forest anomaly detection for tracking age-associated functional movement degradation in Sit-to-Walk transitions. Features participant-disjoint exercise classification, 100-resample outlier analysis, and covariate-adjusted LMMs across young, middle, and older adult cohorts.
Nipype based application to detect FCD lesion in MRI negative epilepsy patients
Work done during my internship at Pasteur Institute, Paris
This repository contains the code I developed for my master thesis project: Neurodegeneration identification in Parkinson's Disease with DL and qMRI maps
CIVI (Composite Intertemporal Valuation Instrument) models economic discounting under normative uncertainty using explicit moral weights
Implementation of the WP-semantics in Answer Set Programming (ASP, using clingo)
A calibrated, abstention-aware Patient Passport describing an individual against a reference population on clinician-readable axes: distribution-free position intervals, per-feature surprise-given-the-rest, a joint coherence coordinate, and an explicit refusal state when the reference cannot support a description.
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