School of Medicine

Showing 1-3 of 3 Results

  • Sanaz Nazari Farsani

    Sanaz Nazari Farsani

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    BioDr. Nazari Farsani works on developing and implementing machine learning techniques for automated tissue segmentation from brain PET/MR images. She is also developing machine learning algorithms for PET data correction and de-noising.

  • Kerem Nernekli

    Kerem Nernekli

    Postdoctoral Scholar, Radiology

    BioDr. Nernekli has a wide-ranging research background encompassing molecular imaging, surgical neuroanatomy, clinical outcome studies, and machine learning, focusing on medical image reconstruction and multimodal deep learning algorithms for classification and segmentation tasks. Currently, he is focused on investigating novel radiotracer and activatable Gd-based contrast agents to detect senescence in large animal models with PET/MRI. Furthermore, Dr. Nernekli is exploring the potential of ferumoxytol-MRI and two-photon microscopy to correlate theranostic nanoparticles in their natural environment in order to gain a deeper understanding of their interactions with tumor-associated microenvironments.

  • Sharon S. Newman

    Sharon S. Newman

    Postdoctoral Scholar, Radiology

    BioI am interested in increasing access to medical technologies, particularly in low-resource settings. I develop computational and bio-analytical technologies for early detection of disease, presently focusing on methods to increase sensitivity and multiplexing capabilities in diagnostic devices. Through developing these systems, I get to explore and play with subjects such as statistical modeling, image processing, manipulation and design of molecular systems, and optimization techniques. As a student, I have gotten to take classes ranging from many project based computation courses to linear dynamical systems to deep dives into chemistry of therapeutic drug development. I look forward to bringing my wide base of experiences in both computational and biological realms towards breakthroughs in precision health and diagnostics amenable to lower resource settings.

    I also am always excited to teach and mentor, and have been involved with a myriad of opportunities including curriculum development and teaching AI/ML to high school students in US and India, K-12 STEM outreach in US, Scratch curriculum teaching to teachers in Taiwan, and graduate level courses such as Biological macromolecules to Stanford students! Im always happy to chat about how to best reach and inspire students and people of all ages, so please reach out!