Shaping the future of digital health
We are a global research institute rapidly developing digital health solutions that empower patients and healthcare providers.
About Us
Turning the promise of digital health into a reality
Science has helped humanity to improve and extend life. Today, technological advances have allowed us to understand and analyze information in ways never before possible.
The Hasso Plattner Institute for Digital Health at Mount Sinai (HPI･MS) propels these possibilities through an extraordinary international academic collaboration between the Hasso Plattner Institute for Digital Engineering in Potsdam, Germany, and the Mount Sinai Health System in New York City, USA.
Learn more about us
FACULTY RECRUITMENT
Seeking early and mid-career professorship candidates with expertise in machine learning, AI, and computer science
To build a world-class research program for AI- and data-driven innovation in human health, the Hasso Plattner Institute for Digital Health at Mount Sinai (HPI.MS) is seeking outstanding candidates for early- and mid-career positions with proven scholarship in computer science, artificial intelligence, and machine learning to join the Icahn School of Medicine at Mount Sinai faculty.
With the innovative platform programs Artificial Intelligence-Ready Mount Sinai (AIR.MS) and Digital Discovery Platform (DDP), HPI.MS offers candidates seamless and secure access to vast amounts of multimodal health data from New York City’s #1 Ranked Hospital.
Why HPI•MS
A new era of digital health
Combining an innovative health care system with world class engineering expertise to offer unprecedented opportunities for improved global well-being and medical discovery.
Expanding possibilities in medicine
Advancements in data science and engineering are rapidly translated into medical discovery in partnership with clinical experts.
Improving access to critical data
Data science powered by 7.6 million clinical records is connected to diverse genomic sequencing, comprehensive medical imaging, and biometric cardiology data, alongside innovative clinical research.
Optimizing human health and well-being
By linking comprehensive patient data from hospital visits, genetic testing, and remote monitoring devices, patients and their physicians will be able to monitor, diagnose and inform personalized treatment plans.
Advancing the state of the art
Leveraging the latest technologies, creating novel methodologies, and bringing together interdisciplinary expertise, HPI⋅MS is leading the digital health revolution.
Research
Leading the digital health revolution
AIR·MS - AI Ready Mount Sinai
Leveraging expertise in computer science and engineering, we've built a platform where researchers can access the vast datasets held at Mount Sinai for data science and machine learning endeavors.
Ehive : Mount Sinai's Central Digital Research Platform
Ehive, created by the Digital Discovery Program, is comprehensive digital health research platform of patient-centric health studies using wearable, mobile and sensor technologies to better understand complex diseases.
Publications
World class research with a global impact
March, 2023
Abstract P458: An Examination of the Influence of Daily Intersectional Minority Stressors on Sleep Health in Sexual and Gender Minority People of Color
Journal
Circulation
HPI·MS Authors
1 HPI•MS authors
Conference
Circulation
March, 2021
Genome-Wide Polygenic Risk Score for Retinopathy of Type 2 Diabetes
Journal
Human Molecular Genetics
HPI·MS Authors
1 HPI•MS authors
Journal
Human Molecular Genetics
March, 2021
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit
Journal
IEEE Transactions on Big Data
HPI·MS Authors
1 HPI•MS authors
Journal
IEEE Transactions on Big Data
March, 2021
Using C-JAMP to investigate epistasis and pleiotropy
Journal
Epistasis - Methods and Protocols
Book Chapter
Epistasis - Methods and Protocols
Press