Join us on November 18th when we will feature the research of Dana Tudorascu, PhD, as part of our Meet the PI lecture series.
Dr. Tudorascu earned her PhD in biostatistics from the University of Pittsburgh. During graduate school, she gained invaluable experience in statistical methods, fMRI and other imaging techniques, as well as in neuroimaging data analysis from Positron Emission Tomography (PET) studies in people with mild cognitive impairment and Alzheimer’s disease. Prior to joining the Pitt Psychiatry faculty in 2017, Dr. Tudorascu was an assistant professor in the Pitt Department of Medicine. She is currently an Associate Professor of Psychiatry and Biostatistics and serves as the Co-Leader of the Study Design and Analysis Group in Psychiatry (StatPsy). Dr. Tudorascu’s research focuses on improving brain tissue classification in presence of white matter lesions and atrophy in neuroimaging studies of people with age-related pathology or Alzheimer’s disease. She is currently principal investigator of a National Institute on Aging-funded R01 grant focused on statistical methods to improve reproducibility and reduce technical variability in multimodal imaging studies of Alzheimer’s disease. In addition to her own research, Dr. Tudorascu’s activities in the Department of Psychiatry include training others in statistical methods used in multimodal imaging studies of neuropsychiatric disorders.
In her talk, Dr. Tudorascu will present challenges and solutions in the analysis of high dimensional biomarkers data from studies of Alzheimer’s disease due to various sources of technical variability. She also will introduce some new statistical and machine learning developments that address scanner differences for MRI and PET studies as well as new statistical developments for white matter hyperintensity detection accuracy.
Lectures will be offered as a hybrid event. Join us in the UPMC Western Psychiatric Hospital Auditorium (masking is required) or click on this Zoom link and enter the following information to participate remotely:
Meeting ID: 967 3169 9440
For More Information. Please contact Frances Patrick at firstname.lastname@example.org.