Alona Sakhnenko
Research Scientist at Fraunhofer IKS
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolAlona Sakhnenko is a research scientist in Munich with nine years of experience at the intersection of machine learning, quantum computing, and the theoretical limits of deep learning. At Fraunhofer IKS she focuses on making near-term quantum devices useful for real-world problems, blending experimental quantum algorithms with ML-driven approaches. She holds an M.Sc. in Robotics, Cognition, Intelligence from TUM and is enrolled in a Dr. rer. nat., building on dual bachelor degrees in Cognitive and Computer Sciences. Alona’s work combines rigorous theoretical inquiry with hands-on prototyping, often exploring how noise and hardware constraints reshape learning bounds. Colleagues value her ability to translate abstract theory into practical research agendas that guide quantum-enhanced ML experiments.
9 years of coding experience
Master of Science - MS, Master of Science - MS at Technical University MunichDr. rer. nat., Dr. rer. nat. at Technical University of MunichBachelor of Science - BS, Bachelor of Science - BS at Universität OsnabrückBachelor of Science - BS, Bachelor of Science - BS at V. N. Karazin Kharkiv National University
English, German, Russian, Ukrainian
Github Skills (16)
cups8
motion-planning7
ice7
qiskit5
neuroml5
quantum-algorithms5
3d-models5
quantum-computing4
python3
algorithms3
documentation2
nodes2
source-sdk2
quantum-programming-language1
nodejs1
Programming languages (6)
Github contributions (5)
asakhnenko/entangled-solutions
Mar 2020 - Jan 2022
Contributions:53 pushes, 1 branch in 1 year 11 months
genn-team/neuron_visualisation
May 2018 - Aug 2018
Contributions:6 commits, 67 pushes, 1 branch in 2 months
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