eSupervisor Detail

I develop machine learning and deep learning models for healthcare and biomedical applications, with a strong focus on medical imaging and neuroscience data. I work with complex clinical and research datasets, including fMRI and large healthcare cohorts, and build end-to-end pipelines from preprocessing and feature engineering to model training, validation, and interpretation. If you need reliable, research-grade ML models for disease prediction, brain imaging analysis, or healthcare analytics, I can help you turn raw data into meaningful results.

As a researcher working deeply with fMRI data, I help labs, students, and companies get reliable preprocessing and high-quality functional connectivity outputs. If you need your data cleaned, aligned, normalized, and converted into meaningful brain networks, I’ve got you covered.What I handlefMRI preprocessing (SPM12)Slice-timing correction, motion correction, co-registration, normalization, and smoothing — the full pipeline handled with care and precision.Functional network generation (CONN & GRETNA)I build connectivity matrices, run seed-based and ROI-to-ROI analyses, and construct graph-theory-based networks ready for research use.Quality checksYou’ll get motion QC, temporal signal checks, visual inspection outputs, and verification that each preprocessing step ran correctly.What you receiveFully preprocessed fMRI dataFunctional connectivity matrices and network filesQC report (motion plots, normalization checks, etc.)Step-by-step documentation of the workflow so your analysis is reproducibleIf you need custom pipelines, atlas-based extraction, or help interpreting results, I can support that too.