Mykhailo Klymenko
Research Scientist at CSIRO's Data61
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolMykhailo Klymenko is a research scientist specializing in semiconductor physics, quantum computing and electronic device modeling with over a decade of experience across academia and industry. He develops theoretical models of physical processes in semiconductor media and implements them using mathematical physics and numerical computing, primarily with Python, MATLAB and C++. His career spans roles from postdoctoral research in silicon nanostructures and quantum-dot based logic to industry engineering leadership at Samsung and applied research at RMIT and CSIRO’s Data61. He is skilled at translating many-body and nanoscale physics into computational tools and device concepts, including novel logic gate ideas and finite-state machines based on double quantum dots. Based in Melbourne, he combines deep theoretical training (PhD in Optics and Laser Physics) with practical software engineering experience to bridge theory and implementable simulation. A less obvious strength is his track record of moving between pure research and product-oriented engineering, enabling rapid prototyping of physics-driven device concepts.
10 years of coding experience
5 years of employment as a software developer
Kharkiv National University of Radio ElectronicsDoctor of Philosophy (PhD), Optics and Laser Physics, Doctor of Philosophy (PhD), Optics and Laser Physics at V. N. Karazin Kharkiv National University
English, French, Ukrainian, Russian
Stackoverflow
3,761reputation
686kreached
106answers
51questions
matlab
top-5%
Github Skills (51)
transport10
s-function10
periodic10
binding10
chemistry10
physics10
dimensions10
dft9
chemical-engineering9
matlab9
python9
nano9
perceptron9
modeling9
prediction8
Programming languages (2)
Github contributions (5)
freude/NanoNet
Mar 2018 - May 2022
The project represents an extendable Python framework for the electronic structure computations based on the tight-binding method and transport modeling based on the non-equilibrium Green's function (NEGF) method. The code can deal with both finite and periodic system translated in one, two or three dimensions.
Contributions:6 releases, 290 commits, 188 PRs in 4 years 2 months
pythondealnegftranslatedelectronic
freude/SBE_cpp
Aug 2015 - Nov 2019
Contributions:4 commits, 3 pushes, 1 branch in 4 years 3 months
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