vitae
General Information
Name | Anqi Fu |
Citizenship | United States |
Languages | English (Fluent), Mandarin (Novice) |
Education
- 2016 - 2021
Ph.D. in Electrical Engineering
Stanford University, Stanford, CA
- 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
M.S. in Statistics
Stanford University, Stanford, CA
- 2009 - 2012
M.A. in Business Research (Economic Analysis and Policy)
Stanford Graduate School of Business, Stanford, CA
- 2005 - 2009
B.S. in Electrical Engineering
University of Maryland, College Park, College Park, MD
- 2005 - 2009
B.A. in Economics with Minor in Mathematics
University of Maryland, College Park, College Park, MD
Experience
- 2022 - Present
Assistant Attending (Faculty)
Memorial Sloan Kettering, New York, NY
- 2021 - 2022
Postdoctoral Research Scholar
Memorial Sloan Kettering, New York, NY
- Advised by Masoud Zarepisheh (Department of Medical Physics).
- 2016
Life Science Research Professional
Stanford School of Medicine, Stanford, CA
- Member of the Xing Lab, led by Lei Xing (Department of Radiation Oncology).
- 2014 - 2016
Machine Learning Scientist
H2O.ai, Mountain View, CA
- 2008
Engineering Technician
Naval Research Laboratory, Washington, DC
Open Source Software
- 2020
A2DR
- Python solver for distributed optimization using Anderson accelerated Douglas-Rachford splitting.
- 2020
CVXR
- R package for disciplined convex modeling and optimization.
- 2022
AdaRad
- Python library for adaptive radiation therapy with nonlinear dynamics.
- 2019
ConRad
- Python library for radiation treatment planning with dose-volume constraints.
Honors and Awards
- 2018
- Chambers Statistical Software Award, Honorable Mention
- 2016
- Stanford Graduate Fellowship
- 2009
- National Science Foundation (NSF) Graduate Research Fellowship
- 2005
- Maryland Distinguished Scholarship
- Intel Science Talent Search Semifinalist
- 2004
- Siemens Westinghouse Science Competition Semifinalist
Research Interests
-
Cancer Therapy
- Radiation Treatment Planning.
- Adaptive Radiation Therapy.
- Computational Oncology.
-
Optimization
- Large-Scale Optimization.
- Robust Optimization.
- Distributed Algorithms.
- Control of Dynamical Systems.
-
Machine Learning
Other Interests
- Hobbies: Art (Oils, Acrylics, Charcoal), Writing, Hiking, Swimming, Music (Classical Voice).