University of Pennsylvania · Biomedical EngineeringFan Lab
Yong Fan · Philadelphia, Pennsylvania
Research Focus
Dr. Yong Fan's lab at the University of Pennsylvania focuses on using advanced artificial intelligence and machine learning techniques to study how the brain develops and functions. The research aims to improve our understanding of brain development variability in youth through the analysis of large-scale brain imaging data. By creating interpretable models and tools, the lab seeks to provide insights into individual differences in cognition and psychopathology, ultimately guiding personalized treatment approaches for brain disorders.
brain developmentfunctional connectivitymachine learningdeep learningpersonalized medicinepsychopathologyneuroimagingdata harmonizationAI toolscognition
Research Aims
5AIM 01Develop algorithms for analyzing brain function and development using multi-site fMRI data.
AIM 02Create interpretable deep learning models to understand individual brain variations.
AIM 03Harmonize diverse brain imaging datasets for improved research accuracy.
AIM 04Identify distinct biotypes related to cognitive and psychopathological traits.
AIM 05Release user-friendly computational tools for researchers in neuroimaging.
Skills the Lab Values
fMRI data analysisdeep learningmachine learningdata harmonization techniquesself-supervised learningprogramming in Pythonstatistical modelinguser interface developmentfunctional MRIdevelopmental neuroscience
Output against the department
Publications790top 6% of dept.38th of 595
this lab
most publishedleast published
Citations8.2ktop 42% of dept.248th of 595
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.