Matthew Blomquist
Graduate Research Assistant
Ripon, California, United States
Summary
👤
Senior🎓
Top SchoolMatthew Blomquist is a PhD candidate in Applied Mathematics at UC Merced, developing high-order adaptive discretizations for large-scale multiphase and interfacial-flow simulations. He brings over a decade of aerospace engineering experience to his research, translating numerical methods into tensor-network compression pipelines and data-driven workflows for production-scale physics codes during internships at LLNL and LBNL. Based in Ripon, California, he is passionate about solving real-world problems that fuse advanced numerical methods, high-performance computing, and scientific computing. His career spans industry as a Project Engineer at ITT and academic roles at UC Merced and national labs, reflecting a unique blend of practical engineering and rigorous research. He holds a BS in Mechanical Engineering from UC Riverside and an MS from CSUN, with a PhD underway at UC Merced since 2021, positioning him to turn complex fluid dynamics theory into deployable tools.
9 years of coding experience
14 years of employment as a software developer
California State University, NorthridgeB.S., Mechanical Engineering, B.S., Mechanical Engineering at University of California, RiversidePhD, Applied Mathematics, PhD, Applied Mathematics at University of California, Merced
Github Skills (7)
stochastic8
wolfram-language6
sympy5
apl5
hybrid3
solver3
math3
Programming languages (2)
Github contributions (5)
mblomquist/Udacity-SDCND-Term2
Mar 2017 - Sep 2021
Contributions:139 pushes, 1 branch in 4 years 7 months
mblomquist/Udacity-SDCND-Term1
Apr 2017 - Sep 2021
Contributions:2 pushes, 1 branch in 4 years 5 months
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