The Duke AI Health Industry Studios: Bring Duke’s expertise in artificial intelligence for health to your organization’s toughest problems!
The Industry Studios are design workshops tailored to your organization’s strategy, problem-solving, and solutions development. Our experts contribute quantitative insights, study design, and deep leadership based in Duke’s decades-long leadership in technology and health.
Customized to your needs, a half-day intensive or full-day educational engagement is created around your grand challenges, with topics developed to your input. Our Duke faculty experts conduct research on the frontiers of health AI methods development and real-world applications and can help partners develop solutions to the hardest problems they face, no matter where they are in AI implementation, from data collection and management to model development, or from measuring model performance to ongoing monitoring.
Part of Our Well-Established Community of Practice
Duke AI Health’s community of practice seeks to bring together learners, practitioners, and experts in the fields of machine learning, artificial intelligence, and health data science in order to better meet current challenges in medicine and population health.
In our 2025 impact survey,
- Over 95% of survey respondents who interacted at least once with AI Health in the last year reported that those interactions changed how they thought about AI or how AI could be used.
- Over 85% of respondents who interacted at least once with AI Health in the last year reported that those interactions informed their work.
Costs
The cost for producing an industry studio is generally between $25,000 – $50,000 for a half-day in-person experience and depends on the number of participants and specialization of the topic.
Get in Touch
To learn more, please email Duke AI Health’s associate director, Andrew Olson, MPP, at andrew.olson@duke.edu
Powered by the AI Experts in Duke’s Department of Biostatistics & Bioinformatics, studios are hosted by Department Chair and renowned thought leader in artificial intelligence, Dr. David Page, and joined by faculty members whose expertise is matched to your specific challenges.
Translational & Biomedical Informatics:
- Monica Agrawal, PhD; Assistant Professor of Biostatistics & Bioinformatics
- Samuel Berchuck, PhD; Assistant Professor of Biostatistics & Bioinformatics
- David Carlson, PhD; Yoh Family Associate Professor of Civil and Environmental Engineering
- Jessilyn Dunn, PhD; Assistant Professor of Biomedical Engineering
- Nicoleta Economou-Zavlanos, PhD; Assistant Professor of Biostatistics & Bioinformatics
- Matthew M. Engelhard, MD, PhD; Assistant Professor of Biostatistics & Bioinformatics
- Xingyuan Fang, PhD; Associate Professor of Biostatistics & Bioinformatics
- Benjamin Alan Goldstein, PhD; Professor of Biostatistics & Bioinformatics
- Ricardo Henao, PhD; Associate Professor of Biostatistics & Bioinformatics
- Chuan Hong, PhD; Assistant Professor of Biostatistics & Bioinformatics
- Xiaoyue Ni, PhD; Assistant Professor of the Thomas Lord Department of Mechanical Engineering and Materials Science
- Jian Pei, PhD; Arthur S. Pearse Distinguished Professor of Computer Science
- Jessica Dale Tenenbaum, PhD; Associate Professor of Biostatistics & Bioinformatics
- Pan Xu, PhD; Assistant Professor of Biostatistics & Bioinformatics
- Anru Zhang, PhD; Eugene Anson Stead, Jr. M.D. Associate Professor
Integrative Genomics:
- Cliburn Chan, PhD; Professor of Biostatistics & Bioinformatics
- Bill Majoros, PhD; Assistant Professor of Biostatistics & Bioinformatics
- Rohit Singh, PhD; Assistant Professor of Biostatistics & Bioinformatics
- Jichun Xie, PhD; Associate Professor of Biostatistics & Bioinformatics
