Saeedeh Mahmoodifar

Graduate Research Assistant at University of Southern California
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Contact Information
us****@****om
(386) 825-5501
Location
Los Angeles, California, United States, US
Languages
  • English Full professional proficiency
  • Farsi Native or bilingual proficiency

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Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Apr 2020 - Present

      Newton Applied Mathematics Group-Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning tools: Compared the spatial distribution of brain metastases across breast, lung, melanoma, colon and renal cancer using machine learning methods such as Random Forest and Kernel SVM.-Characterization of the spatial distribution of brain metastases from breast cancer by molecular subtype: Analyzed stereotactic cartesian coordinates derived from patients receiving gamma- knife radiosurgery (GKRS) for treatment of breast cancer brain metastases (BM) to quantitatively describe BM spatial distribution along principal component axes and by intrinsic molecular subtype. To compare the distributions among molecular subtypes of breast cancer, we use the notion of mutual information which highlights the differences between triple negative and triple positive breast cancer, among others. Mahmoodifar, Saeedeh, et al. "A quantitative characterization of the spatial distribution of brain metastases from breast cancer and respective molecular subtypes." Journal of Neuro-Oncology (2022): 1-11.-An adaptive immuno-chemotherapy evolutionary game theory model: Introduced a simple deterministic evolutionary game theory model of immuno-chemotherapy for tumor control and use the mathematical model to test several hypotheses associated with combined adaptive schedules. The model is based on the replicator dynamical system which governs the tumor cells, with a prisoner’s dilemma payoff matrix, coupled to an immune cell (T-cell) population that dynamically alters the payoff matrix entries. Adaptive and non-adaptive chemotherapy and immuno-therapy schedules are implemented in a time-dependent fashion altering the fitness landscapes of the interacting players. Show less

    • Physics and Astronomy Teaching Assistant
      • Aug 2020 - Present

    • Research Assistant
      • May 2021 - Jul 2021

    • Fellowship
      • Aug 2019 - Aug 2020

Education

  • University of Southern California
    Doctor of Philosophy - PhD, Physics
    2019 - 2024
  • University of Southern California
    Master of Science - MS, Computer Science
    2021 - 2023
  • Alzahra University
    Master of Science - MS, Biophysics
    2016 - 2018
  • University of Tehran
    Bachelor of Science - BS, Physics
    2011 - 2015

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