Boian Alexandrov
Senior AI Scientist at Los Alamos National Laboratory
Santa Fe, New Mexico, United States
Summary
👤
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.
9 years of coding experience
18 years of employment as a software developer
Cotutelle, Physics: Photonic Crystals, Cotutelle, Physics: Photonic Crystals at Université Pierre et Marie Curie (Paris VI)PhD in Biophysics, Molecular Biology, 4.00, PhD in Biophysics, Molecular Biology, 4.00 at IMB, BASPhD in Engineering, Nuclear Engineering, 4.04, PhD in Engineering, Nuclear Engineering, 4.04 at The University of New MexicoTA, Physics, TA, Physics at Florida Atlantic University7 ГимназияMS (University Diploma), Theoretical Physics, 3.75, MS (University Diploma), Theoretical Physics, 3.75 at Sofia University St. Kliment Ohridski
English, Russian, Bulgarian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (36)
calibration8
inversion8
k-means-clustering7
uncertainty-quantification7
decision-making7
matrix-factorization7
parameter-estimation7
sensitivity-analysis7
libsvm6
unsupervised-learning6
ensembles6
feature-extraction6
support-vector-machine5
self-organizing-map5
julia5
Programming languages (4)
Github contributions (5)
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
BoianAlexandrov/ShiftNMFk.jl
Oct 2016 - Oct 2016
Contributions:15 commits, 14 pushes, 1 branch in 14 days
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