Apr 22, 2022
Co-Hosted: Sabrina Hsueh, PhD, Bayesian
Karmen Williams, DrPH, MBA, MSPH, MA , CPH., City University of New York
Guest: Dr. Wendy Chapman, Director of the Centre for Digital
Transformation of Health, University of Melbourne
Dr. Chapman's research focuses on developing computer algorithms to understand information typed into electronic medical records - natural language processing of clinical text. She sees incredible opportunities for improving healthcare delivery and individual health if we can harness information to support decision making, improved processes, and behaviour change. She enjoys skiing, mountain biking, cooking, and visiting dog parks and beaches with her two huskies. She moved to Melbourne with her husband and youngest son and looks forward to the time when her older children can visit.
ACM-AMIA Joint Podcast Series is a joint effort of the Women in AMIA’s For Your Informatics (FYI) podcast and the ACM ByteCast, is a podcast series exploring the interdisciplinary field of medical informatics where both the practitioners of AI /ML solution builders and the stakeholders in the healthcare ecosystems take interest.
The two host professional societies, ACM’s practitioner's board and the Women in AMIA (WIA) steering committee, have extended the effort of the two successful flagship podcast series to start this new series. This series will be jointly hosted by Rashmi Mohan, Karmen Williams, Adela Grando, and Sabrina Hsueh, who will interview female leaders (researchers, practitioners, and innovators) who have first-hand experience enabling AI/ML in real-world applications in healthcare and life science. Special emphasis will be given to the guest’s career path in this highly interdisciplinary field and how each of them navigates and chooses their path and establishes their reputation within the field. We would also welcome the guest to discuss how she evaluates and governs their own AI applications and builds trust in their own field. In each bi-monthly episode, guests will share their experiences handling interdisciplinary communication and workforce equity issues, the lessons they’ve learned on their own career paths, and their own visions for the future of computing.