Anqi Fu

Assistant Attending (Faculty), Memorial Sloan Kettering.

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Memorial Sloan Kettering

321 East 61st Street

New York, NY 10065

I am an Assistant Attending faculty member in the Department of Medical Physics at Memorial Sloan Kettering Cancer Center (MSK). My research addresses problems in cancer radiation therapy, particularly radiation treatment planning and radiobiological modeling, using the tools of optimization. I design, develop, and implement efficient algorithms for large-scale optimization and machine learning with applications to IMRT, IMPT, VMAT, and other treatment modalities. I work closely with the doctors at MSK to write applications that can be deployed in the clinic. Separate from my cancer research, I also develop software for convex optimization – see my work on CVXR.

I completed a M.S. in Statistics and a Ph.D in Electrical Engineering at Stanford University, advised by Stephen P. Boyd and Lei Xing. Afterward, I joined MSK as a postdoctoral research scholar in the lab of Joseph O. Deasy and Masoud Zarepisheh, where I conducted research on robust proton therapy. Prior to my academic career, I worked as a machine learning scientist at the start-up H2O.ai developing software and algorithms for distributed AI applications.

news

Jul 30, 2022 My paper on robust proton treatment planning was published in Medical Physics.
Jul 1, 2022 I was hired as an assistant attending at Memorial Sloan Kettering!

selected publications

  1. Distributed and Scalable Optimization for Robust Proton Treatment Planning
    A. Fu, V. T. Taasti, and M. Zarepisheh
    Medical Physics, Jan 2023
  2. Anderson Accelerated Douglas-Rachford Splitting
    A. Fu, J. Zhang, and S. Boyd
    SIAM Journal on Scientific Computing, Nov 2020
  3. CVXR: An R Package for Disciplined Convex Optimization
    A. Fu, B. Narasimhan, and S. Boyd
    Journal of Statistical Software, Sep 2020