Summary
Timothy Whalen is a Senior Data Scientist in Pittsburgh with six years of experience translating complex neural and sensor data into production-ready machine learning solutions. He holds a PhD in Neural Computation from Carnegie Mellon, where he collected large-scale electrophysiology datasets and developed regression, time-series, and signal-processing methods to probe Parkinsonian circuit dynamics. At Design Interactive he led a small data science team delivering computer vision and predictive maintenance models, and now builds robust statistical and ML systems at IFF. Timothy blends deep domain expertise in neuroscience with practical engineering—prototyping computational neural models in C++ and XPP and deploying Python/MATLAB analysis pipelines into applied projects. He’s comfortable moving projects from exploratory signal discovery to robust, deployed solutions and has a track record of scaling analytical approaches across diverse scientific and industrial settings. An uncommon strength is his ability to connect mechanistic neural modeling insights to pragmatic predictive systems for real-world assets.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Neuroscience, Bachelor of Science (B.Sc.), Neuroscience at Brown University
Doctor of Philosophy - PhD, Neural Computation, Doctor of Philosophy - PhD, Neural Computation at Carnegie Mellon University