Lisa Singer, MD, PhD

Title(s)Assistant Professor, Radiation Oncology
SchoolSchool of Medicine
Phone415-353-9826
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    Stanford UniversityBSBiological Sciences
    National Institutes of HealthMass spectrometry
    National Institutes of HealthSynthetic chemistry
    University of California, San FranciscoMDMedicine
    University of California, Berkeley, with University of California, San FranciscoPhDBioengineering
    Lenox Hill Hospital, Northshore/LIJInternship
    University of California, San FranciscoResidency
    MD Anderson Cancer CenterFellowship

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    Dr. Singer is an attending physician and Assistant Professor in Radiation Oncology at UCSF, where she specializes in the use of radiation to treat breast cancer, thoracic cancer, and ventricular tachycardia. She also serves as Clinical Magnetic Resonance Imaging (MRI) Director in Radiation Oncology and is board-certified in both radiation oncology and MRI safety. She received a PhD in Bioengineering from the University of California, Berkeley and University of California, San Francisco in 2010, focusing on breast MRI, and then her MD from the University of California, San Francisco in 2012. She completed internship at Lenox Hill Hospital in New York City, residency at University of California, San Francisco and fellowship focusing on women's health at MD Anderson Cancer Center in Houston, Texas. She then worked as an attending physician at Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School for three years where she served as MR Medical Director and Assistant Professor in Radiation Oncology. Dr. Singer has worked on advancing the use of MRI for the care of patients with cancer for over 10 years and continues to develop this technology for the care of patients with breast cancer, lung cancer as well as other cancers.

    Her research focuses on the use of imaging to improve our ability to 1) predict tumor response to treatment, and 2) to target tumors with radiotherapy. She has developed and led multiple clinical trials in this space. Prediction of tumor response earlier in a patient’s treatment course could allow for earlier changes in therapy, improving outcomes. Additionally, prediction of normal tissue toxicity at earlier timepoints could inform changes in radiation planning, reducing morbidity. She is also interested in developing novel methods to improve safety and education surrounding biomedical imaging and image-guided radiotherapy.

    Together with her colleagues in medical oncology and surgery, she strives to provide exceptional, multidisciplinary care for all of her patients.
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