Matthew Dippel is a research scientist and PhD candidate in computer science at Northeastern University with a decade of software and research experience at the intersection of randomized algorithms and algorithmic game theory. Based in Mountain View, he combines hands-on engineering from internships and early industry roles (Akamai, Raytheon BBN, and an NDA-bound Python/Java role) with academic rigor developed through his doctoral work and his current position at Facebook. He excels at turning theoretical insights into reliable code and seeks summer roles where he can contribute both analytical depth and practical engineering to complex codebases. An often-overlooked strength is his background in multilayer network analysis applied to real-world systems like air traffic networks, which informs a systems-minded approach to algorithm design and evaluation.
10 years of coding experience
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Northeastern University
Bachelor's Degree, Mathematics and Computer Science, Bachelor's Degree, Mathematics and Computer Science at Rensselaer Polytechnic Institute
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