The repository contains an analysis of the drug sensitivities in cancer dataset by Iorio et al. in two highly related settings:
- enabling Causal Inference in Precision Oncology programs
- optimizing the Assignment Mechanism in Precision Oncology programs using contextual bandits
The work has been submitted as course work for CS282R (Harvard and Google Brain) and BMI707 (Harvard Medical School).
Author contributions:
- Niklas Rindtorff (CS282R and BMI707):
- conceived the study
- prepared foundational dataset
- implemented and executed causal inference experiments
- prepared CS282R report and poster
- prepared dataset for contextual bandit experiments
- prepared BMI707 project proposal, update and report
- Alexander D'Amour (CS282R):
- mentorship and advice during the study
- Ming Yu Lu (BMI707):
- implemented and executed contextual bandit experiments
- prepared BMI707 project update and report
- Huahua Zheng (BMI707):
- prepared dataset for contextual bandit experiments
- prepared BMI707 project update and report
- Nisarg Patel (BMI707):
- advice during regret function design and feature representation
- prepared BMI707 project update, poster and report