Jean Coquet

Office X251
Biomedical Informatics Research
1265 Welch Road
Stanford, California 94305

+1 (650) 723-1831

jean.coquet@stanford.edu

Stanford: profiles.stanford.edu/jean-coquet

Linkedin: linkedin.com/in/jeancoquet

ORCID: 0000-0002-7008-6925

Github: github.com/JeanCoquet

Jean Coquet

Postdoctoral Research Fellow in Computer Science

Department of Medicine, Center for Biomedical Informatics Research (BMIR)

Boussard Lab


My research focuses on establishing novel strategies to assess and improve quality of health care delivery system with data science techniques using patient reported outcomes (PROs) and Electronic Health Records (EHRs). The methodologies I use involve advanced machine learning and Natural Language Processing (NLP) techniques for structured and unstructured health data.

During my PhD, my research was oriented towards the analysis of protein-protein interactions modeling, that has led to a global and systematic analysis of high-dimensional signaling model. The challenge was to find biological relevance in heterogeneous and strongly connected data. After started as a postdoctoral fellow, I leaded a study of bone scan quality metric for prostate cancer patients involving a risk stratification method and a NLP method based on Convolutional Neural Network (CNN) model. More recently, I also worked on a survival analysis showing an association between patient-initiated emails with overall 2-year survival in cancer patients receiving chemotherapy. This project inaugurates a new pathway to capture patient’s voice that may improve health outcomes.

Education & Training

Publications & Scientific Communication

Awards & Volunteer projects

Scientific Popularization