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

Biostatistics Methodology Journal Club

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

Sam Xie, Ph.D.
Research Assistant Professor, Department of Epidemiology & Population Health
February, 09 2026

Tao Wang, M.D., Ph.D.
Professor, Department of Epidemiology & Population Health (Biostatistics)
Director, Genetic and Genomics Data Analysis Unit
March, 09 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

Tai-Sing Lee, Ph.D.
Professor, Computer Science Department
Carnegie Mellon University
March 02 | Price Center Rm. 35*

* More information about ML Seminar Series available here.

OMICs Club X DSI Bioinformatics Symposium

April 14, 2026 - 9AM-5PM
Location: LeFrak Auditorium/Atrium
Registration details coming soon!

Bioinformatics Interest Group Meetings

Deyou Zheng, Ph.D.
Associate Director, DSI
February 10 | Zoom Link

Tao Wang, M.D., Ph.D.
Co-Lead for Bioinformatics, DSI
March 10 | Zoom Link

Roger Chang, Ph.D.
Assistant Professor, Systems & Computational Biology and Biochemistry
May 12 | Zoom Link

Speaker TBD
June 09 | Zoom Link

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