Spencer Loggia - PHD Candidate

Spencer Loggia

PHD Candidate

Baltimore, Maryland, United States

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Summary

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Senior

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Top School

Spencer Loggia is a PhD candidate at Brown University and the NIH with eight years of experience at the intersection of neuroscience, computational biology, and software engineering. He studies high-level visual processing, color vision, and decision making using fMRI, electrophysiology, and computational modeling, bringing rigorous experimental work together with custom simulation and analysis tools. His background includes developing NERDSS, a C++/Java reaction-diffusion self-assembly simulator, and applying automatic differentiation to optimize multibody assembly kinetics—work that led to first-author publication in PNAS. Spencer combines hands-on systems and backend engineering (MOJO pipeline optimization at H2O.ai) with animal-behavior computer vision and large-scale data automation from his Johns Hopkins research. Based in Baltimore, he blends deep quantitative training in computer science and neuroscience with practical software development to translate complex biological questions into reproducible computational workflows.

8 years of coding experience

4 years of employment as a software developer

Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Brown University

Johns Hopkins University

High School, 9-12, High School, 9-12 at Brattleboro Union High School

Github Skills (19)

in-progress9

python9

graph9

machine-learning8

statistics8

bioinformatics8

data-science8

electricity7

particle-physics7

physics6

high-energy-physics6

reaction6

simulation6

assembly5

simulator4

Programming languages (6)

CSSC++SCSSJupyter NotebookRubyPython

Github contributions (5)

spencer-loggia/RL_experimenting

May 2020 - Feb 2024

Contributions:4 PRs, 29 pushes, 5 branches in 3 years 9 months

mjohn218/multi_assembly

Mar 2020 - May 2022

Contributions:133 commits, 36 pushes, 1 branch in 2 years 2 months

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