Fariba Tohidinezhad
Postdoc, Erasmus MC
Interests
- Multimodal Learning
- Radiomics
- Deep Learning
- Prediction Models
- Soft-Tissue Tumors
- Oncology
Education
-
PhD (Clinical Data Science), 2024
Maastricht University Medical Center
Biography
Current Research
Fariba Tohidinezhad joined the Biomedical Imaging Group Rotterdam (BIGR) at Erasmus MC in October 2024 as a postdoctoral researcher in the Department of Radiology & Nuclear Medicine. Her research focuses on Multimodal Learning (MML) techniques that integrate insights from both radiology and pathology images to enhance diagnostic and prognostic accuracy for patients with soft-tissue tumors. This innovative approach aims to bridge the gap between different imaging modalities, ultimately contributing to more precise and personalized treatment strategies in oncology.
Background
Fariba’s academic journey began with a Bachelor’s degree in Computer Science, followed by a Master’s in Medical Informatics from Mashhad University of Medical Sciences. She then transitioned to a role at the university’s Deputy of Research and Technology, where she led the northeastern node of a nationwide study on non-communicable diseases. In 2020, Fariba began her PhD in Clinical Data Science at Maastricht University Medical Center, focusing on using AI to improve cancer treatment. Her thesis concentrated on leveraging AI to develop prediction models that address critical decision-making challenges in oncology. By harnessing advanced analytic pipelines, her work showcased the potential of AI-driven insights to predict and manage toxicities associated with radiotherapy and immunotherapy, enabling clinicians to identify at-risk patients and tailor interventions accordingly.