Matthew Hirn
Senior Quantitative Researcher
East Lansing, Michigan, United States
Summary
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Senior🎓
Top SchoolMatthew Hirn is a Senior Quantitative Researcher at Citadel with 11 years of experience bridging rigorous mathematical theory and practical ML solutions for high-dimensional scientific data. Previously a tenured faculty member at Michigan State University, he led the CEDAR team developing provable algorithms across wavelets, spectral graph theory, manifold learning, and quantum applications. His work spans applied harmonic analysis to quantum chemistry and single-cell biomedical data, with awards including a Sloan Fellowship, DARPA Young Faculty and Director’s Fellowships, and an NSF CAREER. Trained under leading mathematicians and having held postdoctoral positions with Stéphane Mallat and Ronald Coifman, he combines deep theoretical insight with algorithmic efficiency to tackle computationally prohibitive problems. At Citadel he translates these tools into quantitative strategies, bringing academic-grade methods to high-performance research environments. An often-overlooked strength is his track record of turning abstract harmonic-analytic ideas into concrete, provably efficient algorithms used across scientific computing domains.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Cornell UniversityPh.D., Mathematics, Ph.D., Mathematics at University of Maryland
Github Skills (7)
pytorch6
machine-learning6
deep-learning5
graph3
python1
gpu-acceleration1
wavelet1
Programming languages (3)
Github contributions (5)
edouardoyallon/ScatNetLight
Jun 2015 - Nov 2016
ScatNetLight for fast classifications of signals via Scattering Networks
Contributions:58 commits, 45 pushes, 1 branch in 1 year 4 months
pytorchclassificationsdeep-learningmachine-learningscattering
matthew-hirn/ScatNet-QM-2D
May 2016 - Oct 2016
Contributions:2 releases, 23 commits, 21 pushes in 5 months
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