Data Lunches connect AI&DHI and U-M Research community
Sarah Jabbour, PhD candidate in Computer Science and Engineering, presents at the AI&DHI Data Lunch in the College of Engineering.
AI & Digital Health Innovation (AI&DHI) at the University of Michigan recently hosted a series of “Data Lunches” to introduce its data and compute services to the broader U-M research community while celebrating the innovative work researchers are undertaking at the intersection of artificial intelligence (AI) and healthcare.
The first Data Lunch was held in November at the College of Engineering and was led by Dr. Jenna Weins, AI&DHI Co-Director and Associate Professor of Computer Science and Engineering. The second, led by Dr. Sebastian Zoellner, AI&DHI Co-Director and John G Searle Associate Professor of Biostatistics, was held in February at the School of Public Health.
Each Data Lunch featured presentations from PhD candidates who actively working with AI&DHI’s data and compute services. The presentations were then followed by Q&A sessions in which AI&DHI leaders discussed how U-M students, staff, and faculty members across disciplines could access and utilize the initiative’s resources for their own projects.
Altogether, the events drew over 90 researchers from across the university.
Sarah Jabbour, a PhD candidate in Computer Science and Engineering, was one of the presenters who spoke at the College of Engineering Data Lunch. Her talk, titled "Leveraging Various Data Modalities and Compute Resources from Precision Health," focused on her use of AI&DHI’s deidentified chest x-ray datasets.
"The Data Lunch gave me the opportunity to connect directly with AI&DHI members, particularly those responsible for data and tools,” said Sarah. “This helped me better understand available resources and how to access them."
Susan Hollar, Data Support Network Manager at AI&DHI, noted, “Our Data Lunches not only connect researchers to AI&DHI, but also to each other.”
“The Data Lunch gave me the opportunity to connect directly with AI&DHI members, particularly those responsible for data and tools. This helped me better understand available resources and how to access them.”
Sarah Jabbour
PhD Candidate, Computer Science and Engineering
University of Michigan
Most recently, AI&DHI held an online Data Lunch on March 17. This session, also led by Dr. Weins, featured Mark Nuppnau, Research Analyst with the Michigan Medicine Department of Pulmonary & Critical Care Medicine, who shared how his research group used templates in GitHub to standardize processes for data retrieval, output and organization. Following this presentation, the group discussed best practices for querying AI&DHI’s Deidentified Research Data Warehouse (DeID RDW), which contains Electronic Health Records, geolocation data, medical images, clinical notes, and mobile health data on over 5 million U-M Health patients.
AI&DHI Data Lunches are open to all U-M faculty, staff, and students. Upcoming Data Lunch events will be posted to the AI&DHI website and advertised in the AI&DHI newsletter.
AI&DHI’s data and compute resources are available at no cost to U-M researchers. Researchers looking to leverage AI&DHI’s services for their work are encouraged to subscribe to the AI&DHI newsletter. More information can be found on the AI&DHI website: https://aidhi.umich.edu/join-our-research-network.