Introduction to Neurohacking In R

Dr. Elizabeth Sweeney completed her PhD in Biostatistics at the Johns Hopkins Bloomberg School of Public Health, under the mentorship of Dr. Ciprian Crainiceanu and Dr. Russell Shinohara. Her doctoral research significantly advanced neuroimaging data analysis, resulting in multiple publications, presentations, and patents. Elizabeth's interest in neuroimaging began during a traineeship at the National Institute of Neurological Disease and Stroke, where she researched image analysis in multiple sclerosis. Passionate about research and teaching, she has co-taught various tutorials on neuroimaging data analysis and led an introductory biostatistics course for MPH students at the American University of Armenia. Currently, as a Rice Academy Postdoctoral Fellow at Rice University, she focuses on developing neuroimaging, epidemiological, and genetic biomarkers in Alzheimer's disease under the guidance of Dr. Genevera Allen and Dr. Joshua Shulman.

Dr. Ciprian M. Crainiceanu serves as a Professor at Johns Hopkins Bloomberg School of Public Health, where he has been since earning his PhD in Statistics from Cornell University in 2003. As co-founder and leader of the Statistical Methods and Applications for Research in Technology (SMART) research group, he specializes in analyzing complex data from medical technologies. His research focuses on clinical brain imaging, particularly MRI studies in Multiple Sclerosis and CT in stroke cases, along with wearable computing applications including accelerometers, heart rate monitors, and GPS devices. His innovative work bridges the gap between advanced statistical methods and practical medical applications, making significant contributions to the field of biostatistics and medical research.

Dr. John Muschelli III serves as an Assistant Scientist in the Biostatistics Department at Johns Hopkins Bloomberg School of Public Health, where he also earned his PhD under Dr. Ciprian Crainiceanu's supervision. His research expertise combines neuroimaging analysis, particularly focusing on stroke patient data, with advanced R software development. His contributions to the field include creating R packages and advancing educational initiatives in data analysis. As an educator, he has developed and taught comprehensive R programming courses and tutorials in neuroimaging data analysis, demonstrating his commitment to both research and educational excellence in biostatistical methods.