Anqi Fu
Assistant Attending (Faculty) at Memorial Sloan Kettering Cancer Center
Denville, New Jersey, United States
Summary
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Rockstar🎓
Top SchoolAnqi Fu is an Assistant Attending faculty member in Medical Physics at Memorial Sloan Kettering with 13 years of experience applying large-scale optimization, distributed computing, and machine learning to radiation treatment planning. She builds production-grade software for convex optimization (notably the CVXR project) and has contributed to major open-source ML infrastructure such as H2O-3, implementing GLRM and PCA capabilities. Trained under Stephen Boyd and Lei Xing at Stanford, her work spans theory-to-clinic translation: designing distributed algorithms for robust proton therapy and embedding optimization tools into clinical workflows. She combines deep academic credentials (PhD in Electrical Engineering, MS in Statistics, dual BS degrees) with hands-on engineering across Java, R, and optimization frameworks. Based in New Jersey, she bridges research and software development to make complex optimization methods accessible and reliable in oncology settings. An interesting thread through her career is frequent cross-disciplinary impact—moving from econometrics and security projects to state-of-the-art treatment-planning systems.
12 years of coding experience
10 years of employment as a software developer
Master's Degree, Business Research, 3.975/4.0, Master's Degree, Business Research, 3.975/4.0 at Stanford University Graduate School of BusinessThe University of Maryland, College ParkDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Stanford University
Chinese, English, German
Stackoverflow
73reputation
7kreached
5answers
2questions
Github Skills (14)
javas10
machine-learning10
h2o10
java10
data-science9
big-data9
quantile-regression6
json6
cvx6
convex-optimization6
csv6
optimization6
r6
cplex6
Programming languages (6)
Github contributions (5)
h2oai/h2o-3
Feb 2015 - Oct 2015
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 925 pushes, 3 branches in 8 months
Contributions summary:Anqi primarily contributed to the H2O-3 repository by making changes to the Java code. Their work included fixing schema warnings in the `SplitFrameV2` Java file and implementing generalized low-rank models (`GLRM`) for computing principal components. Furthermore, the user made changes to the `GLRMModel` and `GLRMModelV2` files, indicating involvement in developing and refining the underlying machine-learning algorithms and their associated model structures.
xgboostgampythonk-meansautoencoders
anqif/anqif.github.io
Jan 2023 - Mar 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:67 pushes, 2 branches in 2 years 2 months
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