Summary
Garrick Bruening is a Senior Data Scientist in Boulder with seven years of experience applying statistical and machine learning methods to improve patient safety and outcomes in clinical trials. He combines a PhD in Integrative Physiology with hands-on expertise in Python, R, MATLAB and biosensor/time-series analysis to build predictive models from longitudinal, clinical, and motion-capture datasets. At AbbVie he designs end-to-end AI/ML pipelines, interactive visualizations, and ETL workflows that translate complex clinical data into actionable insights across cross-functional teams. His academic work modeled human decision-making using kinematic data and produced practical tools for biomechanical feature extraction and predictive modeling. Known for turning noisy biomedical sensor signals into validated algorithms (a skill honed during a Medtronic internship and NIH/NIST research), he balances rigorous statistical inference with deployable solutions that directly inform trial operations.
7 years of coding experience
3 years of employment as a software developer
The University of Arizona
Data Science, Data Science at The Data Incubator
Doctor of Philosophy - PhD, Integrative Physiology, Doctor of Philosophy - PhD, Integrative Physiology at University of Colorado Boulder
English