معرفی
Nicha Dvornek is an Assistant Professor at Yale School of Medicine in the Department of Radiology & Biomedical Imaging and affiliated with the Image Processing & Analysis Group and Yale Biomedical Imaging Institute. She holds a PhD, MPhil, and MS from Yale University, and a BS from Johns Hopkins University. Her research focuses on autism spectrum disorder, biomedical engineering, and neuroimaging, particularly using machine learning for analyzing fMRI and PET data.
Education:
• PhD, Yale University (2012)
• MPhil, Yale University (2009)
• MS, Yale University (2007)
• BS, Johns Hopkins University (2006)
Her work applies advanced machine learning techniques to medical imaging, including rotation-equivariant networks, GANs for motion correction, and transformer-based models for fMRI analysis. She has received recognition through awards like the James Hudson Brown Fellowship and Best Paper Award at MLMI 2019.
Scientific Awards:
- Best Paper Award, International Workshop on Machine Learning in Medical Imaging (2019)
- James Hudson Brown – Alexander Brown Coxe Postdoctoral Fellowship (2014)
Nicha actively contributes to clinical research through trials related to autism and medical imaging. She is part of Yale’s Bioimaging Sciences division, advancing tools for image processing and analysis.
