Anahita Fathi Kazerooni, PhD

Anahita Fathi Kazerooni, Ph.D., is an Assistant Professor in the Translational Research Imaging Unit at the D3b Center, within the Division of Neurosurgery at CHOP and the Department of Neurosurgery at the University of Pennsylvania. Her research focuses on applying artificial intelligence (AI) to medical imaging to predict tumor genomics and prognosis in pediatric brain tumor patients by integrating multi-omic data modalities. Her primary goal is to enhance clinical decision-making and advance precision diagnostics for children with brain tumors.

Dr. Kazerooni co-leads multiple international initiatives, including AI-RAPNO (AI in Response Assessment in Pediatric Neuro-Oncology) and BraTS-PEDs (Brain Tumor Segmentation in Pediatrics) under the MICCAI (Medical Image Computing and Computer-Assisted Interventions) society. Before specializing in pediatric brain tumors, Dr. Kazerooni worked extensively on radiomic and radiogenomic applications for adult brain tumors, including glioblastoma (GBM) and meningioma. She also has expertise in quantitative MRI, particularly MR perfusion and diffusion imaging techniques, and led the ISMRM-OSIPI-DCE challenge under the International Society for Magnetic Resonance in Medicine (ISMRM) to benchmark dynamic contrast-enhanced MRI analysis techniques in brain tumors.