Stony Brook University Biomedical Informatics

Advance biomedical knowledge through innovative data science research

Technologies
python, javascript, c++, matlab
Topics
deep learning, biomedical data science, cancer informatics, medical imaging
Advance biomedical knowledge through innovative data science research

Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The Department of Biomedical Informatics (BMI) is the home of biomedical data science research and education at Stony Brook University. We train and prepare students and postdoctoral researchers to become leaders in the field. As we train the next generation of data scientists, we deliver innovative informatics research and applications to enhance scientific knowledge and healthcare delivery.

2018 Program

Successful Projects

Contributor
Yue Cao
Mentor
Jonas Almeida
Organization
Stony Brook University Biomedical Informatics
An Application for OpenHealth
I want to contribute to Stony Brook University Biomedical Informatics by developing a webapp for OpenHealth. This involves implementing an online...
Contributor
Chenyang Hong
Mentor
Daifeng Wang
Organization
Stony Brook University Biomedical Informatics
Deep learning modeling to discover the regulatory sequence motifs that predict the cancer drug responses
The project goal is to develop a deep learning model to discover the regulatory motifs that are related with cancer drug responses. After building...