Abuzar Mahmood
Swartz Foundation Computational Neuroscience Postdoctoral Fellow
Waltham, Massachusetts, United States
Summary
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Senior🎓
Top SchoolAbuzar Mahmood is a computational neuroscience postdoctoral fellow with 11 years of experience combining rigorous mathematics, probabilistic modeling, and software engineering to study how brain regions coordinate during sensory processing. At Brandeis he develops and applies Bayesian changepoint models, GLMs, and spectral coordination metrics to high-channel-count neural timeseries and biological imaging, producing multiple papers on temporal dynamics of taste processing. He has industry experience deploying time-series anomaly detection and root-cause pipelines on AWS, bringing production-grade ML practices to neuroscience data. A physicist by training (BS summa cum laude) with an MS and PhD in Neuroscience, he mentors students and teaches courses in data analysis and Bayesian methods. Colleagues benefit from his blend of theoretical depth and practical engineering—able to move from principled probabilistic models to scalable deployed systems.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Neuroscience, 3.96, Master of Science - MS, Neuroscience, 3.96 at Brandeis UniversityUniversity of Missouri
Urdu, English, Punjabi, Japanese, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
bayesian-statistics9
bambi9
regression-models9
bayesian9
bayesian-inference9
model-building9
python8
statsmodels8
probabilistic-graphical-models8
experimental-design8
machine-learning6
nlp3
spike3
developer-tools3
clustering3
Programming languages (4)
Github contributions (5)
abuzarmahmood/abuzarmahmood.github.io
Jan 2023 - Mar 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:20 PRs, 50 pushes, 19 branches in 2 years 2 months
abuzarmahmood/ephys_data
Dec 2019 - Aug 2024
Contributions:14 pushes, 1 branch, 2 issues in 4 years 9 months
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