Applications are Open for the 2020 Woo Center Fellowship Program

We are excited to announce the launch of the 2020 Woo Center Fellowship Program at Duke University. This fellowship program aims to provide experience working on real problems facing health and healthcare at Duke while fostering an innovative and entrepreneurial spirit. By partnering with investigators and innovators at departments at Duke University Health System, Duke Institute for Health Innovation (DIHI), and medical imaging industry partners such as Gradient Health supported by Google, fellows will become deeply immersed in the field of healthcare and solve complex problems. Potential solutions involve technical solutions, ranging from machine learning, computer vision, software engineering, digital pathology, and other technical domains. The program provides a unique opportunity to integrate these technical solutions with regard to research and operational questions. The Woo center will also provide stipends for the awarded fellows.

 

Several outstanding fellows will be selected for the 2020 Woo Center Fellowship Program. Selected finalists will be matched to project teams according to expertise and interest. Examples of prior projects have included large scale radiologic image captioning, open source contributions into TensorFlow, deep learning segmentation of microscopic structures on digital pathology images, real-time prediction of inpatient decompensation and others. During the internship period, the fellows will have the opportunity to: 1) analyze electronic health record, clinical imaging, and other data sources; 2) receive technical, clinical, and design mentorship from experts; 3) publish their work in peer-reviewed journals; 4) develop intellectual property; and 5) collaborate with the industry partners worldwide.  

The following are important dates to keep in mind during the application process:

Application deadline:    11:59 p.m. (EST) on January 15, 2020

Interview:                         January 30 and 31, 2020

Final announcement:     No later thanFebruary 20, 2020

Fellowship period:          March 1, 2020 - October 1, 2020

  

Who can apply: Both Duke undergraduates and graduates are encouraged to apply. Students with prior experience in computer science, machine learning, and other quantitative skills preferred. There is no residency requirement for this Fellowship.

 

Procedure: In order to apply, please send a copy of your resume/CV as well as a cover letter containing a statement as to why you are a good fit in this fellowship program and why you are interested in this space. All application materials should be sent to zhaohui.wang@duke.edu.

Selected applicants will be asked to attend an in-person interview. Applicants should plan to make themselves available to attend the on-campus interviews.

 

Please email Dr. Zhaohui Wang with any questions regarding the application process and/or program.