• Develop algorithms and computational methods for scalable applications

• Build scalable software and computational workflows for production environments

• Collaborate across research and engineering to translate models into reliable systems

• Conducted computational research on neural systems and neural population dynamics

• Developed modeling and analysis frameworks for cortico-cortical communication during visuomotor behavior.

• Developed scripts for real-time neural signal processing and workflows to visualize multimodal electrophysiological data.

• Led longitudinal studies on retinal and cortical biomarkers in Parkinson’s and autonomic disorders, involving 273 participants.

• Developed data processing scripts and a central database (Filemaker Pro, REDCap) to streamline data collection, analysis, and visualization.

• Managed participant retention, protocol adherence, and successfully supported regulatory audits.

• Collaborated with neurologists, ophthalmologists, and engineers to optimize clinical research execution.

• Conducted electrophysiological and retinal physiology measurements, including data analysis to predict retinal degeneration progression using mathematical modeling.

• Collaborated with NYU Langone Health Neurology to study visuomotor processing in Parkinson’s using high-density EEG and eye-tracking.

• Managed IRB protocols, participant recruitment, and ensured regulatory compliance and data quality.

• Programmed visual experiments in MATLAB with Psychotoolbox and analyzed EEG data to study disease-related abnormalities.

• Applied machine learning methods (logistic regression, decision tree, SVM) to classify and predict Parkinson’s disease using neurophysiological data.

• Authored peer-reviewed publications and presented research at national conferences.