Rate My Professor Dominique Duncan

Duncan earned her Ph.D. in Electrical Engineering from Yale University in 2013, with a dissertation on nonlinear factor analysis of intracranial EEG for preseizure state detection and geometric sensor modeling. She also holds M.S. and M.Phil. degrees from Yale (2009, 2010) and a B.S. in Mathematics with honors and B.A. in Polish Literature from the University of Chicago (2007), with a minor in Computational Neuroscience. Her career includes postdoctoral fellowships at Stanford University School of Medicine in Neurology (2013-2014), University of California, Davis in Mathematics (2014-2015), and USC LONI (2015-2016). Key publications include 'Distribution and volume analysis of early hemorrhagic contusions by MRI after traumatic brain injury: a preliminary report of the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx)' (2020), 'Multiplex networks to characterize seizure development in traumatic brain injury patients' (2020), 'Early brain biomarkers of post-traumatic epilepsy' (2020), 'Analytic tools for post-traumatic epileptogenesis biomarker search in multimodal dataset' (2018), and 'Using virtual reality to improve performance and user experience in manual correction of MRI segmentation errors' (2018). Duncan has received the USC Provost’s Postdoctoral Scholar Research Grant (2016-2017), IEEE Senior Member status (2019), Southern California Clinical and Translational Science Institute Team Building Grant (2018), and multiple NSF travel awards. Her efforts have fostered international multidisciplinary collaborations advancing neuroscience informatics.