Matthew Blomquist
Postdoctoral Researcher at Berkeley Lab
Ripon, California, United States
Summary
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Senior🎓
Top SchoolMatthew Blomquist is a postdoctoral researcher at Berkeley Lab with nine years of experience bridging applied mathematics and engineering to advance numerical methods for interfacial flows, high-performance computing, and tensor networks. He completed a PhD in Applied Mathematics at UC Merced after a decade of industry and research roles that include project engineering and multiple Berkeley Lab research assistantships, giving him a rare blend of practical systems experience and rigorous computational theory. His work focuses on building scalable simulation tools for complex fluid dynamics, informed by internships at Lawrence Livermore and early training in mechanical engineering. Known for translating mathematical insight into high-performance code, he brings both hands-on implementation skills and a strong foundation in mechanical design to tackle computationally intensive problems.
9 years of coding experience
18 years of employment as a software developer
M.S., Mechanical Engineering, M.S., Mechanical Engineering at 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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