The Division of Academic Analytics at the Institute for Innovations in Medical Education harnesses the power of advanced analytics and cognitive computing to revolutionize teaching and learning and support strategic and operational processes within the education mission at NYU Langone.

The division focuses on the following areas:

• infrastructure development around NYU Grossman School of Medicine’s education, research, and faculty data analytics
• advanced data visualization and dashboards to provide insights into data and discover patterns
• leveraging the power of artificial intelligence, machine learning, and natural language processing (AI/ML/NLP) to automate processes, summarize data, facilitate decisions, and provide real-time feedback
• self-service business intelligence
• integration of clinical, research, and education data
• data governance
• research and scholarship related to education data and novel analytics methods at a local and national level

Our Staff

Our team is the national leader in data and analytics across the academic medical centers in the country. The team consists of experts in data engineering and advanced data analysis. Our mission is to ensure that learners, faculty, and leadership have access to the right data at the right time to help them make their daily and strategic decisions.

Marina Marin, MSc, Director

Ms. Marin is responsible for NYU Grossman School of Medicine’s education data warehouse. She develops an advanced analytics strategy based on the integration of data from the educational and clinical missions. This data analytics ecosystem may involve aggregated interactive dashboards for self-service reporting, basic descriptive statistics, fully automated predictive and prescriptive analytics, pattern mining, and natural language processing.

Peter Ludlow, MPhys, MEM, PMP, Associate Director of Solutions Development

Mr. Ludlow brings extensive expertise in data engineering and data management to his role, collaborating with leadership across various education and faculty offices to implement innovative reporting and analytics processes, re-engineer business workflows, and enhance data management. Before joining the Education IT team, he worked in the Office of Graduate Medical Education, where he led the rollout of comprehensive automation in reporting and operations workflows. Pete also specializes in generative AI and cloud data engineering. Currently, he is jointly leading the rollout of the next-generation Education Data Warehouse and spearheading projects related to faculty, learner, and educator data.

Nivedha Satyamoorthi, MS, Lead Developer, Information Management

Ms. Satyamoorthi has extensive experience in architecting many data warehouse projects using enabling technologies. She is responsible for creating a data analytics platform for the ParentCorps project.

Helen Finkelstein, MS, Data Warehouse and Business Intelligence Developer

Ms. Finkelstein has extensive experience in the full software development cycle, as well as years of experience as an SQL Server database administrator and business intelligence developer. She applied her skills to serve different industries, including higher education, ecommerce, and marketing. In her most recent role, she participated in a range of SQL Server data warehouse development, business intelligence, and programming tasks to assist financial, health, and education departments.

Jules Salvador, Senior Information Management Developer

Mr. Salvador specializes in architecting intelligent data management solutions to enhance Education IT. With expertise in AI- driven automation, data integration, and workflow optimization, he develops advanced analytics platforms that improve data accessibility, summarization, and decision-making. His work supports education and faculty data strategies, leveraging automation and scalable infrastructure to ensure timely and actionable insights.