This talk will present projects at the Graphics Imaging & Light Measurement Lab (GILMLab) that combine optical imaging, physics and artificial intelligence (AI) for real-world application in life science and biomedical research. GILMLab’s collaborative projects combine expertise across multiple disciplines to investigate emerging topics in the fields of computer graphics and vision including, developing neural networks to detect cancerous tumors in tissue biopsies, introducing deep learning methods to examine animal behavior in ways that could lead to treatments for human neurological disorders like autism, and combining multispectral imaging with physics-based material modeling for application in forensic science.

Corey Toler-Franklin is an assistant professor of computer science at Columbia University, where she directs the Graphics, Imaging & Light Measurement Laboratory. Toler-Franklin earned a doctoral degree in computer science from Princeton University. She earned a master’s degree from the Cornell University Program of Computer Graphics and a bachelor’s degree from Cornell University. Prior to joining the faculty at Barnard College, Columbia University, Toler-Franklin was an assistant professor of computer science at the University of Florida.  Additionally, Toler-Franklin was a University of California (UC) President’s Postdoctoral Fellow at UC-Davis and a research affiliate at the Center for Information Technology Research in the Interest of Society and the Banatao Institute at UC-Berkeley. She has also held positions at Autodesk, Adobe and Google.

Toler-Franklin’s research in computer graphics and vision includes machine learning, data acquisition, appearance modeling, imaging spectroscopy and non-photorealistic rendering with real-world applications in biodiversity, biomedical research and archaeology. Her algorithms use mathematical principles in optics to capture and analyze the shape and appearance of complex materials. Her recent work develops artificial intelligence algorithms for biomedical research. Collaborating with the University of Florida’s College of Medicine oncology and pathology departments and the University of Florida Department of Neuroscience, Toler-Franklin developed deep learning algorithms for diagnosing metastatic cancers and studying behaviors associated with neurological disorders, such as Alzheimer’s, autism and depression.