April Poster Showcase Features Duke's Successes in Health Data Science
A poster showcase held on Monday, April 2024, 2023 at the Mary Duke Biddle Trent Semans Center for Medical Education featured 28 posters in health data science. This cross-disciplinary event was hosted by multiple organizations, including Duke AI Health, the Laboratory for Transformative Administration, and the Center for Computational Thinking.
“The showcase highlighted how much excellent work is happening in health data science here at Duke,” said Shelley Rusincovitch, MMCi, the event’s director. “I’m glad that we were able to support these teams in sharing their work with a larger audience and making connections across Duke’s broad quantitative expertise.”
Poster topics were centered around health data science and covered a wide range of topics including statistics, informatics, machine learning, data engineering, implementation, process engineering, technology development, and applications. The posters were submitted by people at all stages of their careers, including students, trainees, staff, and faculty. Information tables also shared programs and resources relevant to health data science at Duke.
Hanxue Gu, a PhD student in the Electrical and Computer Engineering department and a member of the Mazurowski Lab won the award for Best Computational Thinking Poster, from Duke’s Center for Computational Thinking. Her poster, “SuperMask: Generating High-resolution object masks from multi-view, unaligned low resolution MRIs” included co-authors Hongyu He, Roy Colglazier, Jordan Axelrod, Robert French, and Maciej Mazurowski.
Akshay Bareja, PhD, an Assistant Professor in Duke Molecular Physiology Institute, presented the Computational Thinking award to Ms. He and commented “In addition to her obviously impressive results, I was also impressed by the clever and novel neural network architecture and training scheme she used.”
Hamed Zaribafzadeh, a biostatistician with the Department of Biostatistics & Bioinformatics and the Department of Surgery’s Laboratory for Transformative Administration, won the award for the Best Poster in Good DEEDS (Duke Ethical & Equitable Data Science) from Duke AI Health. His poster “Utilizing Natural Language Processing to Identify Social Determinants of Health and Biased Language in Abdominal Transplant Patients” included co-authors Norine Chan, Jacqueline Henson, Wendy Webster, Ricardo Henao, and Lisa McElroy.
Michael Pencina, PhD, Vice Dean of Data Science and Director of Duke AI Health, presented the Good DEEDS award to Mr. Zaribafzadeh with the support of senior author Dr. McElroy. He commented “This work exemplifies Duke’s commitment to ethical and equitable data science in its use of sophisticated natural language processing methods to yield insights about potential disparities in organ transplantation.”
