Hi, I’m James!–I’m a data scientist and neural engineer with 11 years of experience in building experiments, algorithms, and analytics for large data sets. As a doctoral and post-doctoral researcher, I innovated imaging and computer vision techniques to understand how medical implants integrate into a patient’s body. As a data scientist in the software industry, I am developing deep learning systems for sensor, text, and imagery data to support decision making for federal customers.
The best AI/ML tools work with people to augment their tasks. My motivation in data science is to understand this interface between humans and algorithms, and to create tools that maximize the human benefit from these artificial intelligence.
Building data science tools to identify dangerous traffic intersections
Model to predict car accident risk of Pittsburgh intersections
Mapping Pittsburgh Potholes 1: Visualization
Simple visualization of Pittsburgh’s potholes from 311 reports
Unsupervised brain mapping with Python (a data mining tutorial)
Exploration of brain imaging data with Python and k-means clustering to show how brain regions change after electrode implantation