In the Englander Institute for Precision Medicine (EIPM) we support both basic and translational research by designing, optimizing, and running high-throughput assays.
To this effort, we employ scientists from various disciplines and we use machine learning, AI, and data visualization to better grasp the dynamic relationships amongst genes and to develop predictive models to identify factors within cell regulatory networks.
With these novel insights into disease pathways, we can develop disease models to learn their mechanisms, target effective drug combinations, and sequentially develop new therapeutic approaches.
Our faculty and staff are distinguished data analysts who specialize in designing computational methods for extracting insights from next-generation sequencing and high-throughput screening data.
EIPM’s computational lab is equipped with state of the art instrumentation, robotics, and customized software that employs numerous software applications to provide high-level analytics and valuable data. Performing these types of analyses can often require extensive computing power and our instruments for conducting them include an array of algorithms and software that were developed by our investigators. Our bioinformatics specialists contribute both in study design and in downstream data analysis.

Computational Analysis

Our computational team leads an incredible effort to develop tools to further the collection and processing of tumor DNA and the analysis of its genomics information.


All the Projects, Featured Publications, Press coverage and collaborators for the AI projects of the Englander Institute for Precision Medicine are available in the AI page.

Data Visualization

In Englander Institute for Precision Medicine, we use Data Visualization to better assist to patient diagnosis and drug discoveries.