(Eric) Zhang Chen

Data Scientist

Dana-Farber Cancer Institute

I’m a data scientist at Dana-Farber Cancer Institute. My research focuses on developing statistical and machine learning models for healthcare data such as patient Electronic Health Records (EHR) data, biomedical image data, clinical text data, genomics data as well as hospital operational data. I’m particularly interested in deep learning, natural language processing and image analysis. My passion is to apply those techniques to solve real-world problems in healthcare.

I’m also interested in financial investments and passed the CFA (Chartered Financial Analyst) Level 1 exam.

Interests

Machine Learning
Deep Learning
Biostatistics
Biomedical Image
Genomics
EHR

Education

PhD in Bioinformatics, 2016

University of Pennsylvania, USA
MPhil in Bioinformatics, 2011

The Chinese University of Hong Kong, Hong Kong
BS in Biology, 2008

University of Science and Technology of China, China

Publications

More Publications

Chen EZ, Dong X, Wu J, Jiang H, Li X, Rong R. Lesion attributes segmentation for melanoma detection with multi-task U-Net. IEEE International Symposium on Biomedical Imaging (ISBI), 2019.

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Li X, Wu J, Jiang H, Chen EZ, Dong X, Rong R. Skin lesion classification via combining deep learning features and clinical criteria representations. bioRxiv, 2018.

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Jiang H, Rong R, Wu J, Li X, Dong X, Chen EZ. Skin lesion segmentation with improved C-UNet networks. bioRxiv, 2018.

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Wu J, Li X, Chen EZ, Jiang H, Dong X, Rong R. What evidence does deep learning model use to classify skin lesions?. arXiv, 2018.

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Chen EZ, Bushman FD, Li H. A model-based approach for species abundance quantification based on shotgun metagenomic data. Statistics in Biosciences, 2017.

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Ni J, Shen TC, Chen EZ, Bittinger K, Bailey A, Roggiani M, Sirota-Madi A, Friedman ES, Chau L, Lin A, Nissim I. A role for bacterial urease in gut dysbiosis and Crohn’s disease. Science Translational Medicine, 2017.

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Chen EZ, Li H. A two-part mixed-effects model for analyzing longitudinal microbiome compositional data. Bioinformatics, 2016.

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Lee D, Baldassano RN, Otley AR, Albenberg L, Griffiths AM, Compher C, Chen EZ, Li H, Gilroy E, Nessel L, Grant A, Chehoud C, Bushman FD, Wu GD, Lewis JD. Comparative effectiveness of nutritional and biological therapy in north american children with active Crohnʼs disease. Inflammatory Bowel Diseases, 2015.

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Oh J, Sanders IF, Chen EZ, Li H, Tobias JW, Isett RB, Penubarthi S, Sun H, Baldwin DA, Fraser NW. Genome wide nucleosome mapping for HSV-1 shows nucleosomes are deposited at preferred positions during lytic infection. PLoS ONE, 2015.

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Lewis JD, Chen EZ, Baldassano RN, Otley AR, Griffiths AM, Lee D, Bittinger K, Bailey A, Friedman ES, Hoffmann C, Albenberg L, Sinha R, Compher C, Gilroy E, Nessel L, Grant A, Chehoud C, Li H, Wu GD, Bushman FD. Inflammation, antibiotics, and diet as environmental stressors of the gut microbiome in pediatric Crohn’s disease. Cell Host Microbe, 2015.

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(Eric) Zhang Chen

Data Scientist

Dana-Farber Cancer Institute

Interests

Education

Experience

Data Scientist

Dana-Farber Cancer Institute

Data Scientist

Thomas Jefferson Hospital

Publications

Posts