Sam Westby is a PhD candidate in Network Science at Northeastern University with nine years of experience blending psychology, mathematical modeling, and data science to study the future of work and teams. He has applied machine learning and temporal point processes to real-world problems—from predicting movie box office with Reddit data to validating pedestrian behavior models using computer vision. Comfortable across research design, software development, and technical communication, Sam has contributed open code for pedestrian tracking and wearable-data analyses used in behavioral studies. Based in Boston, he brings a rare interdisciplinary lens that turns messy human-centered data into interpretable models and actionable insights for organizations anticipating how teams will work tomorrow.
9 years of coding experience
3 years of employment as a software developer
Bachelor's of Science, Mathematics, Psychology, Minor in Computer Science, Bachelor's of Science, Mathematics, Psychology, Minor in Computer Science at University of Wisconsin-Madison
Doctor of Philosophy - PhD, Network Science, Doctor of Philosophy - PhD, Network Science at Northeastern University
This project uses the Google Assistant SDK and machine learning to create a smart home assistant. This assistant's actions are influenced by the emotion in the user's voice.
Contributions:24 commits, 22 pushes, 1 branch in 21 days
pythonemotionassistantmachine-learningsdk
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