University of Washington-Seattle Campus · Mathematics & StatisticsShojaie Lab
Ali Shojaie · Seattle, Washington
Research Focus
Ali Shojaie's research lab focuses on developing innovative statistical methods and machine learning techniques to create non-invasive biomarkers for early detection of Alzheimer's disease and related dementias. The lab aims to improve our understanding of how brain connectivity changes in these disorders, paving the way for better diagnostic tools and therapies. By leveraging advanced imaging data, the lab strives to provide new insights into the disease's initiation and progression to aid in timely intervention.
Alzheimer's Diseasebiomarkersmachine learningfunctional MRIbrain connectivity
Research Aims
4AIM 01Develop a new model to capture the dynamics of functional connectivity in Alzheimer's disease.
AIM 02Create multivariate dynamic models to incorporate individual brain connectivity differences.
AIM 03Design techniques to detect changes in brain networks while addressing subject-level variability.
AIM 04Implement a transfer learning framework to improve biomarker reliability across datasets.
Skills the Lab Values
statistical modelingmachine learning algorithmsfunctional MRI analysisR programmingPython programming
Output against the department
Publications268top 42% of dept.55th of 131
this lab
most publishedleast published
Citations4.2kbottom 29% of dept.93rd of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.