Madelyn Shapiro
PHD Student at UCSB Computer Science Department
Goleta, California, United States
Summary
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Rockstar🎓
Top SchoolMadelyn Shapiro is a PhD student in computer science at UCSB with four years of industry and research experience focused on data science and computational research. Prior to graduate study she spent several years at Pacific Northwest National Laboratory progressing from research associate to data scientist, applying quantitative methods to real-world problems. With a BS in Mathematics and Computer Science from the University of Puget Sound, she blends strong mathematical foundations with hands-on data engineering and analysis. She has a track record of leadership and mentoring—serving as co-president of her university's ACM chapter and as a course assistant—paired with early experience in coaching and organizational finance. Based in Goleta, California, Madelyn brings a researcher’s rigor and a practitioner’s focus to projects that bridge theory and applied data-driven solutions.
4 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at University of Puget Sound
Spanish
Github Skills (24)
constrained-optimization10
dynamical-systems10
model-predictive-control10
hypergraph10
physics10
predictive10
nonlinear-dynamics10
control-systems10
igraph10
nonlinear-optimization10
differentiable-programming10
system-identification10
pytorch9
visual-analytics9
networkx9
Programming languages (2)
Github contributions (5)
j-koch/neuromancer
Aug 2023 - Aug 2023
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Contributions:4 PRs, 2 pushes, 1 branch in 1 day
madelynshapiro/madelynshapiro.github.io
Sep 2023 - Sep 2023
Contributions:4 pushes in 1 day
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