Sanjida Islam
PhD Student
PhD candidate in Mechanical Engineering, studying concussion and mild traumatic brain injury (mTBI) using data from the CARE Consortium. Co-mentored by Norman Scheel and Ricardo Mejia-Alvarez.
Team
People
Norman Scheel, PhD
Principal Investigator
Director of CIRC and Principal Investigator of the BRAIN Lab in the Department of Radiology. His research develops computational and AI methods for human neuroimaging, including Dimensional Complexity, a novel resting-state fMRI biomarker, and machine-learning and causality approaches to imaging biomarkers of neurodegeneration (such as Alzheimer's and Parkinson's disease) and brain aging.
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Jake Prefontaine
Medical Student, College of Human Medicine (CHM)
Investigates deep-learning methods for distortion correction of diffusion MRI, as well as modern dMRI metrics beyond DTI.
Alex Douma
Medical Student, College of Human Medicine (CHM)
Studies dimensional-complexity measures of fMRI, examining how signal complexity fluctuates under different cognitive loads.
Mohammad Munir Zaitoun
Medical Student, College of Osteopathic Medicine (COM)
Collaborates with Sanjida Islam on concussion research within the CARE Consortium.
Mikayla Meyer
Research Assistant
Investigates neuroimaging signatures of pediatric pain, working primarily with PI Natoshia Cunningham, PhD.
Amir Hossein Rasoli Jokar
PhD Candidate in Speech-Language Pathology
Investigates neuroimaging approaches to speech-language pathology, with a focus on the neural correlates and variability of stuttering.
Rohan Rathi
Data Analytics Summer Intern
Develops deep-learning approaches for longitudinal segmentation of white-matter hyperintensities (WMH).
Gagan Anandan
Data Analytics Summer Intern
Focuses on quality control of physiological signals (respiration and cardiac recordings) collected during fMRI to optimize RETROICOR/RVHR physiological-noise correction.
The BRAIN Lab has no open positions or active searches at this time. We nonetheless welcome inquiries from prospective graduate students and postdoctoral researchers with a strong interest in computational neuroimaging and AI; interested candidates are encouraged to get in touch.