Post-doc Research in biomarkers for Parkinson Disease:Duties: Data engineering and analysis, computational models, Machine Learning and Deep Learning, statistics, Preparing manuscripts for publication, post-graduate student supervision

Lecturer in MSc "Rehabilitation", offered by Oxford Brooks UniversityLeading Modules:-“Research Methods and statistics”-"Rehabilitation Research Design and Methods" -"The Evidence Base of Rehabilitation Practice" :

My PhD thesis primarily focuses on the role of variable visual stimuli on dynamic balance across life-span. I analyse voluntary postural sway variability using both linear and non-linear tools and explore how it changes as a function of age (from development to ageing) and whether it features adaptation to unexpected perturbations. Main responsibilities: Literature review, Data collection (motion capture systems, EMG, Force Platforms, Eye tracker device), Data analysis (signal processing with MATLAB and Python, Statics using SPSS), present and publish results.

Tutoring fitness enthusiasts. Seminars related to the Fitness and Sports industry, particularly in Functional Anatomy and Movement Science.Technologies used: e-learning platform

Project related to Biomechanics and Motor Control in Ageing. Main responsibilities: Data collection (Kinematics, EMG, Ultrasound), Data analysis (cross spectral analysis and statistics), Presentation of Main findings in International ConferencesTechnologies used: Vicon motion capture system, MATLAB, SPSS

Project: "Postural Asymmetries for exploring vestibular function In Adolescent Idiopathic Scoliosis".Main Responsibilities: Processing and Analysis of kinematic and EMG data, Statistical Analysis. Technologies used: MATLAB, SPSS

Project "NoTremor: Virtual, physiological and Computational Neuromuscular Models for the Predictive Treatment of Parkinson's disease".Main responsibilities: Data collection in Parkinson disease patients. Technologies used: Custom Tablet and PC programs for visuomotor coordination assessment