Mason Dicicco
Adjunct Professor at Clark University
Worcester, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMason Dicicco is a theoretical computer scientist and adjunct professor with 11 years of experience at the intersection of mathematics and AI, currently teaching at Clark University after completing a PhD in Computer Science at Worcester Polytechnic Institute. His research and applied work span physics-informed neural networks, universal differential equations, spectral neural operators, and topological data analysis, with hands-on experience building spiking neural network simulators for defense research. Mason blends rigorous mathematical training (BA in Mathematics, BS in Computer Science) with practical software engineering from internships and simulation projects, making him adept at translating theory into deployable models. Based in Worcester, MA, he brings an unusual mix of academic teaching, government lab research, and operational roles—down to managing a university climbing center—reflecting a practical, systems-oriented approach to complex AI problems.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Worcester Polytechnic InstituteBachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at University of Connecticut
Github Skills (22)
libsodium6
encryption6
anaconda6
hmac6
cryptography6
crypto6
ide6
language-server-protocol5
python5
qt5
algorithm5
prediction-model4
weather-data3
prediction3
census3
Programming languages (2)
Github contributions (5)
masinister/Evolving-an-SNN
Jun 2019 - Aug 2019
Using a parallelized evolution algorithm to train structural features of a spiking neural network
Contributions:185 commits, 10 PRs, 156 pushes in 1 month
neural-network
masinister/reduction-llm-experiments
Jun 2025 - Dec 2025
Contributions:65 pushes, 3 branches in 5 months
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