Our focus is fusion of unstructured medical data (images, 3D models, clinical notes) to support clinical diagnosis and treatment.

We are particularly interested on the challenging aspect of longitudinal inference and how to construct a pathway to deploy the AI tools in the point-of-care to help to formulate strategies for prevention, screening, and treatment of cancer.

Collaborations: We have several multi-institutional research projects in collaboration with multiple academic centers and industries in US (including Stanford, Duke, SUNY Buffalo, Moffitt Cancer Center, UCSF, Philips healthcare, Carl Zeiss, Genetech, Arterys Inc) and Europe (CNR, Université Paris Descartes, HES-SO Valais) related to NLP and prediction. The application area of the developed methodologies spans from breast cancer, liver cancer, prostate cancer up to cardiovascular diseases, sepsis.

Competencies: Natural Language Processing (NLP), deep learning, machine learning, Predictive modeling, Medical image analysis.

twitter: @ImonBanerjee6

Open graduate student support and postdoc position in both ML and NLP: please send CV and a cover letter of research interest to imon.banerjee[at]emory.edu

Postdoc apply here:

https://faculty-emory.icims.com/jobs/42390/job