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Dean’s Lecture | Dr. Ka Yee Yeung-Rhee | Scalable and Interactive Multimodal Analytical Workflows
Join Us! Dean’s Distinguished Lecture with Dr. Ka Yee Yeung-Rhee
Dr. Ka Yee Yeung-Rhee
Explore how the use of innovative methods can address the challenges of processing multimodal biological data. This lecture features insights from the NIH-funded MorPhiC Consortium and examples that advance research in cancer and beyond.
Dr. Ka Yee Yeung-Rhee’s research focuses on creating scalable tools and machine learning methods that enable reproducible analysis of complex biomedical data. Her work integrates computer science, statistics and bioinformatics to uncover meaningful patterns in large, multimodal datasets. She and her team aim to advance methods that not only improve data-driven discovery but also foster collaboration across scientific and clinical communities.
When
Oct. 21 | 5-6 p.m. | Reception to follow
Location
Lois Pope Life Center | Seventh Floor Auditorium