Mark Fiecas

Mark Fiecas, PhD, is an Associate Professor in the Division of Biostatistics & Health Data Science at the University of Minnesota. His research focuses on neuroimaging and time series analysis, particularly in understanding brain connectivity and genetic underpinnings of neurological conditions. He holds expertise in functional MRI (fMRI), EEG, Bayesian methods, and ALS research.

Education:

• PhD in Biostatistics, Brown University (2012)
• BS in Mathematics, University of Houston

Research Interests: Combines statistical methodologies with neuroimaging to study brain structure/function. Key areas include functional connectivity, imaging genetics, and applications in aging, mental health, and neurodegenerative diseases like Alzheimer’s and ALS.

Grants & Projects: Leads/co-leads grants such as the NIH-funded 'Transcranial Magnetic Stimulation to Augment Behavior Therapy for Tics' and 'REU Site: Equitable Data Science in Adolescent Development.' Collaborates on studies like the ALS Natural History Consortium and Parkinsonian neuronal activity research.

Labs/Teams: Engaged with multidisciplinary teams in neurology, psychiatry, and data science, focusing on translational research and clinical applications.