Professional Experience

Clinical Informatics Assistant — Downtown Pain Physicians

Brooklyn, NY · Aug 2025 – Present

• Design and maintain Power BI and Tableau dashboards tracking patient outcomes, visit metrics, and quality measures for clinical leadership.
• Analyze multi-modal EHR data using SQL and Python to support operational and clinical quality improvement decisions.
• Develop automated data extraction and reporting pipelines, reducing manual effort and improving data accuracy.
• Apply statistical data validation and anomaly detection methods on structured clinical datasets.

Clinical Research Assistant — Stony Brook Medicine

Stony Brook, NY · Aug 2024 – Apr 2025

• Built a Graph Neural Network (GNN) on multi-modal EHR data (diagnoses, labs, medications, demographics), achieving an 11% AUROC improvement via feature engineering and hyperparameter tuning.
• Developed an interpretable AI CDS framework for ECG-based fall risk prediction (PTB-XL dataset), achieving 70.99% accuracy with Vector Quantized (VQ) feature extraction.
• Applied feature engineering, dimensionality reduction, and model selection techniques across clinical machine learning tasks.
• Performed structured EHR data management and Python-based transformation pipelines for research datasets.

Research Assistant — Sapienza University, Computer Vision Lab

Rome, Italy · Jul 2023 – Dec 2023

• Modified a U-Net CNN architecture for MRI brain tumor segmentation, achieving a 14% improvement in Dice coefficient on a 1 TB+ imaging dataset.
• Automated end-to-end ML training and evaluation pipelines using Python, PyTorch, and Snakemake in a high-performance computing environment.