Boian Alexandrov
Scientist V at Los Alamos National Laboratory
Santa Fe, New Mexico, United States
Summary
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Senior🎓
Top SchoolBoian Alexandrov is a Scientist V at Los Alamos National Laboratory with over two decades of interdisciplinary research spanning theoretical physics, nuclear engineering, computational biology, and solid-state physics. He combines experimental and theoretical methods to tackle complex problems, specializing in pattern recognition, partial differential equations, and extracting hidden features from data. His career includes visiting scientist roles at Harvard Medical School and research fellowships at Durham University, reflecting a strong bridge between fundamental science and applied problems. Boian mentors colleagues, fosters cross-disciplinary collaboration, and has a knack for translating deep theoretical insight into practical, impactful solutions—an approach shaped by dual PhD-level training in nuclear engineering and biophysics.
10 years of coding experience
37 years of employment as a software developer
Cotutelle, Physics: Photonic Crystals, Cotutelle, Physics: Photonic Crystals at Pierre and Marie Curie UniversityPhD in Biophysics, Molecular Biology, PhD in Biophysics, Molecular Biology at IMB, BASPhD in Engineering, Nuclear Engineering, PhD in Engineering, Nuclear Engineering at The University of New MexicoTA, Physics, TA, Physics at Florida Atlantic University7 ГимназияMS (University Diploma), Theoretical Physics, MS (University Diploma), Theoretical Physics at Sofia University St. Kliment Ohridski
English, Russian, Bulgarian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
sensitivity-analysis8
matrix-factorization8
calibration8
uncertainty-quantification8
inversion8
k-means-clustering7
risk-analysis7
ensembles7
decision-making7
parameter-estimation7
julia6
support-vector-machine5
unsupervised-learning5
libsvm5
machine-learning5
Programming languages (4)
Github contributions (5)
BoianAlexandrov/ShiftNMFk.jl
Oct 2016 - Oct 2016
Contributions:15 commits, 14 pushes, 1 branch in 14 days
BoianAlexandrov/HNMF
Oct 2017 - Apr 2018
HNMF is a Hybrid factorization model utilizing Nonnegative Matrix Factorization (NMF) coupled with inverse-analysis Green's functions method. HNMF synergistically performs decomposition of the recorded be sensors mixtures, finds the number of the unknown sources and uses the Green's function of advection-diffusion equation to identify their characteristics. HNMF code presented here is capable of identifying the advection velocity (the direction of the advection velocity is assumed on the axis x) and dispersivity of the medium as well as the unknown number, locations, and properties of release sources with different space and time dependences only based on the recorded contaminant mixtures.
Contributions:7 commits, 6 pushes, 1 branch in 5 months
matrix-factorization
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