We invite Duke students to apply for the Health Data Science (HDS) summer research program. This competitive program, based in Duke AI Health, is designed to allow students who have previous experience in data science to continue their engagement with substantive applied projects.

The Advanced Machine Learning Projects in Health Data Science offers Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. Participating students will be mentored by leading Duke faculty involved in data science research, often with guidance by practicing clinicians. The summer will culminate in a showcase session where student teams will present their results.

Summer Format

The HDS summer research program in 2022 will be a 10-week full-time learning experience held from May 23 through July 29. The summer 2022 program will be held in person at Duke’s Durham campus, based in the Rhodes iiD space in the third floor of Gross Hall, adhering to appropriate COVID-19 testing and safety measures.

Summer activities will include weekly project meetings, group sessions, a machine learning journal club, and clinics around specific topics such as dissemination and coding. Students accepted into the program will also attend the Duke Machine Learning Summer School.

Participants will receive a $5,000 stipend, out of which they must arrange their own housing and travel (if applicable).

Target Student Population

Students are eligible to apply if they have previously participated with +DS (such as POE 190.01/790.01, EGR 190.06/590.06, or previous advanced project involvement), have completed coursework in data science, or have had another form of substantial experience with data science. Prior exposure to machine learning methods is preferred.

How to Apply

To apply for the HDS summer 2022 research program, please fill out this Qualtrics form: https://duke.qualtrics.com/jfe/form/SV_3mhNOHQAa3XkqDs

The preferred deadline for submissions is Monday, March 21, which will allow for earlier reviews. The final deadline for applications is Monday, March 28, 2022 by 10:00 PM Eastern Time.

Please send an e-mail to aihealth@duke.edu if you have any questions.

About the HDS Program

Duke AI Health is focused on developing, evaluating, and implementing artificial intelligence for health at Duke and beyond. Designed as a multidisciplinary, campus-spanning initiative, Duke AI Health connects, strengthens, amplifies, and grows multiple streams of theoretical and applied research on artificial intelligence and machine learning at the University in order to answer the most urgent and difficult challenges in medicine and population health.

The Health Data Science (HDS) program within AI Health is directed by Ricardo Henao, PhD, Chief AI Scientist for AI Health and Assistant Professor of Biostatistics & Bioinformatics and Electrical & Computer Engineering.

The HDS program is a culmination of initiatives across multiple years, beginning with the early years of Duke Forge and projects across 2017-2020 supporting 15 health data science interns. The +DS program launched advanced projects in 2019 and has supported 90 undergraduate and graduate students in hands-on experiences.

The HDS program in AI Health now consolidates AI Health’s experiential education for students with projects focused on machine learning in healthcare. In many cases the experiences result in meaningful research, but our fundamental goal is for students to learn. HDS also maintains our strong partnerships with groups across Duke including the Rhodes Information Initiative (iiD) and the Center for Computational Thinking (CCT).