Program overview

Main Subject

Engineering - General

Degree

PhD

Study Level

PHD

Study Mode

On Campus

BMI conducts research on techniques, tools, and systems that synthesize information to obtain a deep understanding of mechanisms underlying health and disease. BMI faculty engage in cutting-edge projects designed to contribute to integrative biomedical and...
Read more translational research to enhance healthcare. These projects are carried out through synergistic activities with biomedical researchers and healthcare teams at Stony Brook and elsewhere in the U.S. and abroad. Research Areas include:
Computational and Systems Biology
This research area takes an interdisciplinary approach to the study of computation and systems-level analysis to resolve critical biological challenges. Researchers in this area focus on several computational and biologic components involving network analysis and reconstruction, modeling, algorithm development and genomic influence.
Faculty: Ramana V Davuluri
Bioinformatics
Faculty in this area develop methods and tools for the analysis, visualization, and translation of genomic data. Projects range from developing predictive models of response to therapy in human cancer to understanding gene regulation in model organisms.
Faculty: Ramana V Davuluri
Clinical Informatics
The Electronic Health Record (EHR) is the primary means for managing and storing a patient’s data. There has been a growing push to utilize data collected from EHR systems for secondary use, including automated computation of clinical phenotypes to improve accuracy of records, generation of real-time alerts to improve patient care, and analysis of records to advance our understanding of disease and healthcare and to improve the quality of care.
Faculty: Janos Hajagos, Fusheng Wang, Mary Saltz, Joel Saltz
Data Science
With the ever rise of available information often denoted as “big data”, this research takes a mathematical approach to provide actionable insights and our faculty work on the intersection of statistics, mathematics, and computer science. Another focus of our research is to develop and evaluate a suite of novel data and processing abstractions and optimizations for analysis of extremely large low-dimensional spatio-temporal data for scientific, biomedical, and clinical research. We develop and use quantitative models and methods to assist related research areas that are cross-platform and used on a variety applications.
Faculty: Chao Chen, Zhaozheng Yin, Tahsin Kurc, Joel Saltz, Prateek Prasanna, Ramana V Davuluri
Imaging Informatics
Imaging data is employed in care guidelines and clinical settings for virtually all cancer disease sites. With widespread adoption of digitizing microscope platforms, tissue images obtained from whole slide tissues or tissue microarrays are increasingly employed in clinical and research settings. Specific areas of research and development include deep learning methods for image classification and segmentation, image segmentation and feature computation pipelines, software for management and interrogation of image data and imaging features, high performance and Cloud computing methods and tools for image analysis and data management.
Faculty: Tahsin Kurc, Chao Chen, Zhaozheng Yin, Fusheng Wang, Joel Saltz, Prateek Prasanna
Population Healthcare Informatics
We are developing an integrated data gathering, integration, predictive-modeling and information-dissemination infrastructure for large scale population based studies, with the goals to reduce the risk of undesirable events like potentially avoidable emergency department visits and hospital-acquired infections, and to improve patient quality indicators. We also work on large scale integrative big spatial analytics for public health studies, by using healthcare data from open government initiatives, social media, and public data sources, with a goal for community or neighborhood level research. In particular, we work on big data driven studies for opioid epidemic.
Faculty: Mary Saltz, Janos Hajagos, Fusheng Wang, Joel Saltz Read less

Program overview

Main Subject

Engineering - General

Degree

PhD

Study Level

PHD

Study Mode

On Campus

BMI conducts research on techniques, tools, and systems that synthesize information to obtain a deep understanding of mechanisms underlying health and disease. BMI faculty engage in cutting-edge projects designed to contribute to integrative biomedical and...
Read more translational research to enhance healthcare. These projects are carried out through synergistic activities with biomedical researchers and healthcare teams at Stony Brook and elsewhere in the U.S. and abroad. Research Areas include:
Computational and Systems Biology
This research area takes an interdisciplinary approach to the study of computation and systems-level analysis to resolve critical biological challenges. Researchers in this area focus on several computational and biologic components involving network analysis and reconstruction, modeling, algorithm development and genomic influence.
Faculty: Ramana V Davuluri
Bioinformatics
Faculty in this area develop methods and tools for the analysis, visualization, and translation of genomic data. Projects range from developing predictive models of response to therapy in human cancer to understanding gene regulation in model organisms.
Faculty: Ramana V Davuluri
Clinical Informatics
The Electronic Health Record (EHR) is the primary means for managing and storing a patient’s data. There has been a growing push to utilize data collected from EHR systems for secondary use, including automated computation of clinical phenotypes to improve accuracy of records, generation of real-time alerts to improve patient care, and analysis of records to advance our understanding of disease and healthcare and to improve the quality of care.
Faculty: Janos Hajagos, Fusheng Wang, Mary Saltz, Joel Saltz
Data Science
With the ever rise of available information often denoted as “big data”, this research takes a mathematical approach to provide actionable insights and our faculty work on the intersection of statistics, mathematics, and computer science. Another focus of our research is to develop and evaluate a suite of novel data and processing abstractions and optimizations for analysis of extremely large low-dimensional spatio-temporal data for scientific, biomedical, and clinical research. We develop and use quantitative models and methods to assist related research areas that are cross-platform and used on a variety applications.
Faculty: Chao Chen, Zhaozheng Yin, Tahsin Kurc, Joel Saltz, Prateek Prasanna, Ramana V Davuluri
Imaging Informatics
Imaging data is employed in care guidelines and clinical settings for virtually all cancer disease sites. With widespread adoption of digitizing microscope platforms, tissue images obtained from whole slide tissues or tissue microarrays are increasingly employed in clinical and research settings. Specific areas of research and development include deep learning methods for image classification and segmentation, image segmentation and feature computation pipelines, software for management and interrogation of image data and imaging features, high performance and Cloud computing methods and tools for image analysis and data management.
Faculty: Tahsin Kurc, Chao Chen, Zhaozheng Yin, Fusheng Wang, Joel Saltz, Prateek Prasanna
Population Healthcare Informatics
We are developing an integrated data gathering, integration, predictive-modeling and information-dissemination infrastructure for large scale population based studies, with the goals to reduce the risk of undesirable events like potentially avoidable emergency department visits and hospital-acquired infections, and to improve patient quality indicators. We also work on large scale integrative big spatial analytics for public health studies, by using healthcare data from open government initiatives, social media, and public data sources, with a goal for community or neighborhood level research. In particular, we work on big data driven studies for opioid epidemic.
Faculty: Mary Saltz, Janos Hajagos, Fusheng Wang, Joel Saltz Read less

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

Ph.D. in Biomedical Informatics

Stony Brook, Stony Brook, United States

Engineering - GeneralMain Subject Area

Program overview

Main Subject

Degree

Study Level

Study Mode

Program overview

Main Subject

Degree

Study Level

Study Mode

Scholarships

Scholarships

More programs from the university

Bachelor (62) UG(62)

Art History & Criticism, BA

Creative Writing & Literature, BFA

English, BA

French Language and Literature, BA

History, BA

Italian Studies, BA

Linguistics, BA

Music, BA

Philosophy, BA

Spanish Language and Literature, BA

Studio Art, BA

Economics, BA

Biomedical Engineering, BE

Chemical & Molecular Engineering, BE

Civil Engineering, BE

Computer Engineering, BE

Computer Science, BS

Electrical Engineering, BE

Engineering Science, BE

Information Systems, BS

Mechanical Engineering, BE

Technological Systems Management, BS

Biology, BA,BS

Health Sciences, BS

Human Evolutionary Biology, BS

Nursing, BS,BS-MS

Pharmacology (B.S.)

Polysomnographic Technology

Psychology, BA,BS

Respiratory Care, BS

Applied Mathematics & Statistics, BS

Astronomy/Planetary Sciences, BS

Atmospheric and Oceanic Sciences, BS

Biochemistry, BS

Chemistry, BA,BS

Clinical Laboratory Sciences, BS

Coastal Environmental Studies, BS

Earth & Space Sciences, BA

Ecosystems and Human Impact, BA

Engineering Chemistry, BS

Environmental Design, Policy & Planning, BA

Environmental Humanities, BA

Environmental Studies, BA

Geology, BS

Marine Sciences, BS

Marine Vertebrate Biology, BS

Mathematics, BS

Multidisciplinary Studies, BA

Physics, BS

Sustainability Studies, BA

Africana Studies, BA

Anthropology, BA

Asian & Asian American Studies, BA

Communication

Education (Teacher Certification), BA,BS

Globalization Studies & International Relations , BA

Journalism, BA

Mass Communication, BS

Political Science, BA

Social Work, BS

Sociology, BA