College of Computer and Information Science, Northeastern University, Boston, MA, USA
Tuesday November 13, 2018
Data Visualization Across Disciplines
Audible, 101 Main Street, Cambridge, MA
Audible requires registration. You’ll also need to sign an NDA and show ID at the security desk. Please register.
What can help enable both the treatment of heart disease and the discovery of newborn stars? Visualization. Specifically interdisciplinary data visualization, the sharing and co-development of tools and techniques across domains. Visualization is a powerful tool for data exploration and analysis. With data ever-increasing in quantity, having effective visualizations is necessary for knowledge discovery and data insight. In this talk I will share sample results from my own research and experience crossing disciplines and bringing together the knowledge and experts of computer science, astrophysics, radiology and medicine. I will present new visualization techniques and tools inspired by this work for the astronomical and medical communities.
Dr. Michelle Borkin works on the development of novel visualization techniques and tools to enable new insights and discoveries in data. She works across disciplines to bring together computer scientists, doctors, and astronomers to collaborate on new analysis and visualization techniques, and cross-fertilize techniques across disciplines. Her research has resulted in the development of novel computer assisted diagnostics in cardiology, scalable visualization solutions for large network data sets, and novel astrophysical visualization tools and discoveries. Her main research interests include information and scientific visualization, hierarchical and multidimensional data representations, network visualization, visualization cognition, user interface design, human computer interaction (HCI), and evaluation methodologies.
Prior to joining Northeastern, Dr. Borkin was a Postdoctoral Research Fellow in Computer Science at the University of British Columbia, as well as Associate in Computer Science at Harvard and Research Fellow at Brigham & Women’s Hospital. She received her Ph.D. in Applied Physics at Harvard’s School of Engineering and Applied Sciences (SEAS) in 2014. She also has an MS in Applied Physics and a BA in Astronomy and Astrophysics & Physics from Harvard University. She was previously a National Science Foundation (NSF) Graduate Research Fellow, a National Defense Science and Engineering Graduate (NDSEG) Fellow, and a TED Fellow.