Our Tool

Machine Learning Technology

OMR-Tool uncovers hidden insights on each patient through sophisticated, predictive modeling

Personalized Report

OMR-Tool presents each patient's misuse risk likelihood and ranks the distinct attributes driving their results

Interpretable Results

OMR-Tool showcases transparent, actionable results for physician's to utilize when interacting with each patient

Quick & Easy to Use

OMR-Tool processes a user-friendly, concise assessment and outputs results seconds after submission

Tool Workflow


Our Team

We are data science graduates from the UC Berkeley Master of Information and Data Science (MIDS) program. The Opioid Misuse Risk tool showcases the knowledge and technical skills we have accumulated during the duration of this program. We have taken classes in machine learning, data engineering, data visualization, ethics, and more-- and are proud to productize them into one tool that impacts a complex social problem we all care deeply about.

Cameron Kennedy

Data Scientist

Aditi Khullar

Data Scientist

Rachel Kramer

Data Scientist

Sharad Varadarajan

Data Scientist