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.
