Early Alzheimer’s detection
My doctoral research focuses on a fair and generalizable audio-textual and demographic framework for early Alzheimer’s disease detection.
About
I design scalable Python data pipelines for large-scale energy datasets at PPC S.A., working with Databricks and Azure DevOps to support deployment and CI/CD. My background combines data engineering with biomedical engineering and machine learning research, including speech analysis for depression detection and biometric data analysis. As a doctoral student, I research fair and generalizable audio-textual and demographic frameworks for early Alzheimer’s disease detection.
Currently
Data Engineer and Doctoral Student
Available for
Selected work
Depression detection research
My master’s thesis explored how speech analysis and machine learning can support the detection and diagnosis of depression.
Pupil biometrics research
I worked with pupil size datasets, studying relationships between pupil response, cognitive and psychological functions, and lighting conditions while developing Python-based biometric data processing algorithms.
Guidepoint team welcome
I shared a LinkedIn post welcoming new colleagues to the Guidepoint Athens team.
Work Background