Bio

Samia Shahnawaz is a dedicated data scientist with a focus on healthcare analytics, making significant strides in the health tech innovation sector at the Windreich Department of Artificial Intelligence and Human Health within the Icahn School of Medicine at Mount Sinai as well as the Hasso Plattner Institute for Digital Health at Mount Sinai. Her expertise lies in statistical analysis, data visualization, and model development, enabling her to convert complex healthcare data into actionable insights. Her career has been marked by efforts to enhance data quality and regulatory compliance, alongside spearheading digital transformation initiatives that optimize clinical trial processes.

In her recent endeavors, Samia has worked closely with various stakeholders to refine data processes for enhanced research integrity, led pivotal data analysis projects that assess the impact of medical treatments, and contributed to influential publications through her analytical acumen. Her initiatives in automating data report generation and developing innovative models for risk assessment underscore her dedication to improving operational efficiency and fostering innovation within healthcare research.

Armed with a Master of Public Health in Biostatistics from New York University, Samia embodies a blend of technical skill and cooperative spirit, poised to confront challenges in biomedical informatics and artificial intelligence, particularly in the realm of women’s health. Her proficiency in R, Python, SQL, and health informatics, combined with a robust understanding of regulatory compliance and documentation, ensures the utmost privacy and security in her projects.

As she embraces her new role, Samia is eager to apply her analytical expertise and team-oriented approach to propel advancements in women’s reproductive health research. Her goal is to leverage patient-generated data and digital health technologies to develop impactful disease management strategies.