CV

Contact Information

Name Anqi Fu
Email anqif@alumni.stanford.edu

Experience

  • 2026 - present

    New York, NY

    Research Assistant Professor
    NYU Grossman School of Medicine, Department of Radiation Oncology
  • 2022 - 2026

    New York, NY

    Assistant Attending (Faculty)
    Memorial Sloan-Kettering, Department of Medical Physics
  • 2021 - 2022

    New York, NY

    Postdoctoral Research Scholar
    Memorial Sloan-Kettering, Department of Medical Physics
    • Advised by Dr. Masoud Zarepisheh and Dr. Joseph O. Deasy.
  • 2016 - 2016

    Stanford, CA

    Life Science Research Professional
    Stanford School of Medicine, Department of Radiation Oncology
    • Member of the Xing Lab, led by Prof. Lei Xing (Chair, Division of Medical Physics).
  • 2014 - 2016

    Mountain View, CA

    Machine Learning Scientist
    H2O.ai
  • 2008 - 2008

    Washington, DC

    Engineering Technician
    Naval Research Laboratory, Materials Science and Technology Division

Education

  • 2016 - 2021

    Stanford, CA

    Ph.D
    Stanford University
    Electrical Engineering
    • Dissertation titled “Convex Optimization Methods for Adaptive Radiation Therapy”.
    • Committee members were Stephen Boyd (Ph.D. Adviser), Lei Xing, Balasubramanian Narasimhan, and John Duchi.
  • 2012 - 2014

    Stanford, CA

    M.S.
    Stanford University
    Statistics
  • 2009 - 2012

    Stanford, CA

    M.A.
    Stanford Graduate School of Business
    Business Research (Economic Analysis and Policy)
  • 2005 - 2009

    College Park, MD

    B.S.
    University of Maryland, College Park
    Electrical Engineering
  • 2005 - 2009

    College Park, MD

    B.A.
    University of Maryland, College Park
    Economics

Awards

  • 2018
    John M. Chambers Statistical Software Award, Honorable Mention
  • 2016
    Stanford Graduate Fellowship
  • 2009
    National Science Foundation (NSF) Graduate Research Fellowship
  • 2005
    Maryland Distinguished Scholarship
  • 2005
    Intel Science Talent Search Semifinalist
  • 2004
    Siemens Westinghouse Science Competition Semifinalist

Languages

English : Native speaker
Mandarin : Novice

Interests

Cancer Therapy: Radiation Treatment Planning, Adaptive Radiation Therapy, Radiomics, Computational Oncology
Optimization: Large-Scale Optimization, Robust Optimization, Distributed Algorithms, Control of Dynamical Systems
Machine Learning: Statistical Learning, Statistical Modeling, Convolutional Neural Networks (Medical Imaging)

Projects

  • 2020
    A2DR | https://github.com/cvxgrp/a2dr

    Python solver for distributed optimization using Anderson accelerated Douglas-Rachford splitting.

  • 2020
    CVXR | https://cvxr.rbind.io

    R package for disciplined convex modeling and optimization.

  • 2022
    AdaRad | https://github.com/anqif/adarad

    Python library for adaptive radiation therapy with nonlinear dynamics.

  • 2019
    ConRad | https://github.com/bungun/conrad

    Python library for radiation treatment planning with dose-volume constraints.