Summary
Benjamin Pittman-polletta is a Visiting Lecturer in Statistics with over a decade of experience at the intersection of computational neuroscience, signal processing, and statistical modeling. He holds a PhD in Applied Mathematics and has led biophysical computational modeling and electrophysiological analyses that clarified mechanisms of attention, speech-rate tracking, and decision-making across roles at Boston University and Harvard Medical School. With 15 years of scientific research, 18+ years teaching and mentoring, and over 470 citations, he combines rigorous theory (spectral analysis, autoregressive models, information theory) with practical software development in Matlab and Python. He has a track record of translating complex multiscale neural dynamics into shareable modeling tools and reproducible analyses, and has applied these skills to clinical topics including schizophrenia and Parkinsonian pharmacology. Based in Brookline, MA, he brings an unusual blend of scientific breadth—from sleep and circadian physiology to cognitive computation—and a talent for making advanced methods accessible to students and collaborators.
12 years of coding experience
6 years of employment as a software developer
The University of Arizona
Bachelor of Arts (B.A.), Neuroscience and Mathematics, Bachelor of Arts (B.A.), Neuroscience and Mathematics at Oberlin College
English, Spanish