Our Mission

The Data Science Institute at Montefiore Einstein aims to transform the increasingly massive amount of data generated from -omics, imaging, electronic health records, mobile devices, and other modern technologies into knowledge, insights, and innovations that drive scientific discovery and improve human health. We serve as an interdisciplinary hub that brings together experts in biostatistics, bioinformatics, epidemiology, health research informatics, and artificial intelligence (AI)/machine learning (ML) to tackle the most pressing and complex analytic challenges in biomedical research today.

As a vibrant hub for interdisciplinary research and education, the institute:

fosters collaborations across departments and disciplines
provides data science training programs and mentorship
develops and applies innovative methods and tools in data science
expands and coordinates data science resources and support across the institution

Our methodological research spans a wide range of areas, including:

integration and analysis of high-dimensional molecular (“-omics”) data
electronic health records data
wearable and mobile health technologies
imaging studies
pragmatic clinical trials
AI/ML approaches for risk prediction, personalized medicine, and drug discovery

Through developing and applying innovative data science methods, we are committed to accelerating research, increasing scientific and clinical impact, and educating the next generation of physicians and scientists.

Upcoming Events

Artificial Intelligence Applications in Research, Education & Health Care Seminar Series

Generative AI as a Brain Lever in Biomedical Research
David Shechter, Ph.D.
Albert Einstein College of Medicine
December 16, 2025 | 12pm - 1pm
Virtual Session: Zoom Registration

Leveraging AI for Digital Health Innovation and Enhanced Clinical Care
Sunit Jariwala, M.D.
Albert Einstein College of Medicine
January 7, 2025 | 12pm – 1pm
Virtual Session: Zoom Registration

Biostatistics Methodology Journal Club

2nd Monday of the month
12:00PM - 1:00PM | Belfer 1006E

Kenny Ye, Ph.D.
Professor, Department of Epidemiology & Population Health (Biostatistics) and Systems & Computational Biology
January 12, 2026

Sam Xie, Ph.D.
Research Assistant Professor, Department of Epidemiology & Population Health
February 9, 2026

Tao Wang, M.D., Ph.D.
Professor, Department of Epidemiology & Population Health (Biostatistics)
Director, Genetic and Genomics Data Analysis Unit
March 9, 2026

Kith Pradhan, Ph.D.
Assistant Professor, Department of Epidemiology & Population Health
April 13, 2026

Charlie Hall, Ph.D.
Professor, Department of Epidemiology & Population Health (Biostatistics) and Neurology
May 11, 2026

Machine Learning Seminar Series Dept. Of Systems and Computational Biology

Sam Nastase, Ph.D.
Assistant Professor, Department of Psychology
University of Southern California
November 24 | Price Center Rm. 451

Lyle Muller, Ph.D.
Assistant Professor, Department of Mathematics
Western Institute for Neuroscience
February 2 | Virtual Session*

Tai-Sing Lee, Ph.D.
Professor, Computer Science Department
Carnegie Mellon University
March 2 | Price Center Rm. 35

* More information about ML Seminar Series available here.

Contact Us

Feedback, questions, and suggestions about this site can be emailed to:

datascience@einsteinmed.edu

Albert Einstein College of Medicine
Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, NY 10461