Predicting Cell Effective Permeability with Gradient Boosted Regression
The experimental result on the rate of drug passing through the Caco-2 cells can approximate the rate at which the drug permeates through the human intestinal tissue. 
Data Science
Plasma Protein Binding Rate
Regression based on a dataset of 1,614 drugs from AstraZeneca.
The human plasma protein binding rate (PPBR) is expressed as the percentage of a drug bound to plasma proteins in the blood. This rate strongly affect a drug’s efficiency of delivery. The less bound a drug is, the more efficiently it can traverse and diffuse to the site of actions. From a ChEMBL assay deposited by AstraZeneca. 
Predicting peptide-protein binding with a random forest
General protein-peptide affinity predicted from biochemical features. 
Modeling NBA salary with bio-metric features
A linear regresion model to predict NBA salary. Or, predicting salary without any performance data is really hard. 
Predicting Litoria Fallax from climate data
Species distribution model based on a random forest. This uses climate information to predict frog locations. This was a team project; we submitted this to the EY Better Working World data science challenge and finished as a global semifinalist (top 15 of 8000). 