vitae

Basics

Name Anqi Fu
Citizenship United States
Email anqif@alumni.stanford.edu
Url https://anqif.github.io

Education

Work

  • 2022 - NOW
    Assistant Attending (Faculty)
    Memorial Sloan Kettering, Department of Medical Physics
    My research addresses problems in radiation treatment planning and radiobiological modeling using the tools of optimization. I design, develop, and implement efficient algorithms for large-scale, distributed optimization and machine learning with applications to IMRT, IMPT, VMAT, and other treatment modalities. I also create software/solvers for general convex programming and analysis.
  • 2021 - 2022
    Postdoctoral Research Scholar
    Memorial Sloan Kettering, Department of Medical Physics
    Advised by Masoud Zarepisheh in the Department of Medical Physics. I conducted research on proton treatment planning and distributed optimization.
  • 2016 - 2016
    Life Science Research Professional
    Stanford School of Medicine
    Member of Lei Xing's lab in the Department of Radiation Oncology.
  • 2014 - 2016
    Machine Learning Scientist
    H2O.ai, Mountain View, CA
  • 2008 - 2008
    Engineering Technician
    Naval Research Laboratory (NRL), Power Electronics Branch

Projects

  • 2020 - 2022
    AdaRad
    Python library for adaptive radiation therapy with nonlinear dynamics.
  • 2015 - NOW
    CVXR
    R package for disciplined convex modeling and optimization.
  • 2018 - 2020
    A2DR
    Python solver for distributed optimization using Anderson accelerated Douglas-Rachford splitting.
  • 2016 - 2019
    ConRad
    Python library for radiation treatment planning with dose-volume constraints.

Awards

Interests

Cancer Therapy
Radiation Treatment Planning
Adaptive Radiation Therapy
Computational Oncology
Numerical Optimization
Large-Scale Optimization
Robust Optimization
Distributed Algorithms
Control of Dynamical Systems
Machine Learning
Statistical Software

Languages

English
Native
Mandarin
Conversational