Thomas Possidente
Doctoral Candidate
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolThomas Possidente is a Doctoral Candidate and computational neuroscientist with nine years of interdisciplinary experience at the intersection of machine learning, neuroimaging, and bioinformatics. He has applied ML and data engineering to large-scale biological sequence datasets, time-series classification, NLP and image analysis in industry settings and now focuses on perception and attention in the Somers Lab at Boston University. Skilled in Python, MATLAB, and statistical modeling, he brings hands-on experience from Draper and Brigham and Women's Hospital to academic neuroimaging experiments. His background in cognitive science and early work building unsupervised neural network models gives him a rare blend of theory-driven modeling and production-oriented engineering. Based in Cambridge, MA, he combines rigorous experimental techniques with scalable data pipelines—evident in projects handling millions of protein sequences and diverse biomedical imaging challenges.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Bachelor’s Degree at Vassar CollegeEötvös Loránd UniversityHigh School, High School at Saratoga Springs High School
English, SpanishProgramming languages (2)
Github contributions (5)
thpossidente/Int-Seg-Model
Feb 2017 - Oct 2020
Contributions:213 pushes, 1 branch, 1 issue in 3 years 8 months
preraulab/multitaper_toolbox
Feb 2021 - Nov 2022
Contributions:68 commits, 77 pushes, 1 branch in 1 year 9 months
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