
Dr. Oleksandr Burlayenko
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Oleksandr Burlayenko
- Bis heute 4 Jahre und 5 Monate, seit Dez. 2020Albert-Ludwigs-Universität Freiburg
Wissenschaftlicher Mitarbeiter (Doktorand)
- Supervised courses for BSc/MSc students. - Led analyst in ttbar spin correlation and quantum entanglement research: developed analysis strategy, reduced measurement uncertainty by up to 92% (excl. per selection). - Developed and optimized production code for data sample simulations. - Managed big-data processing on the WLCG & NEMO clusters. - Neural network model tuning, improving sample purity by 32% and efficiency by 11%. - Implemented profile likelihood fits for parameters extraction.
- Collaborated across Particle Modeling, Jet/ETmiss, and Top-Properties groups to enhance model accuracy. - Model code-development, production, and physics-validation of Monte Carlo (MC) samples for particle modeling. - Assessed the impact of various nuisance parameters on new MC samples. - Designed the intercalibration corrections in large-scale data analysis for improved precision modeling (paper in progress). - Regularly presented progress in CERN meetings and international conferences.
- 7 Monate, Feb. 2019 - Aug. 2019
Data Scientist, Research Trainee
Theory Pole of IJCLab (Lab. de Physique des 2 Infinis Irène Joliot-Curie)
High Energy Physics, Quantum Field Theory Theoretical Analysis: - Derived theoretical predictions to explore physics anomalies using the Effective Field Theory phenomenology framework. Simulation & Software: - Performed Monte Carlo statistical simulations, interpretation, and visualization with Python. - Analyzed LHC data for anomalous signals, exploring potential “new physics” effects using ROOT.
- 3 Monate, Feb. 2019 - Apr. 2019
data Scientist, Research Trainee
Theory Pole of IJCLab (Lab. de Physique des 2 Infinis Irène Joliot-Curie)
High Energy Physics, Quantum Field Theory Theoretical Analysis: - Derived theoretical predictions to explore physics anomalies using the Effective Field Theory phenomenology framework. Simulation & Software: - Performed Monte Carlo statistical simulations, interpretation, and visualization with Python. - Analyzed LHC data for anomalous signals, exploring potential “new physics” effects using ROOT.
- 2 Monate, Aug. 2018 - Sep. 2018
Research Trainee
Nicolaus Copernicus University
Quantum Foundations, Quantum Optics, Quantum Physics Theoretical Analysis [published in Nature]: - Analyzed spontaneous emission of quantum emitters in dispersive environments beyond the electric dipole approx. - Developed a generalized theory for multiple emitters coupled to a structured reservoir. - Investigated applications in fast addressing of atomic systems and decoherence-resistant quantum memories.
Ausbildung von Oleksandr Burlayenko
- 4 Jahre, Dez. 2020 - Nov. 2024
Doktorand
Albert-Ludwigs-Universität Freiburg
Experimental Particle Physics, Faculty of Mathematics & Physics, Physikalisches Institut (CERN, ATLAS Exp.) Thesis: Measurement of Top-Quark Pair Spin Correlation in the Lepton + Jets Channel using the ATLAS Experiment. Grade: Magna Cum Laude
- 1 Jahr und 1 Monat, Aug. 2019 - Aug. 2020
Faculty of Sciences (High Energy Physics)
Université Paris-Sud
Nuclei, Particles, Astroparticles and Cosmology (“NPAC”) Thesis: Window to Physics Beyond the Standard Model Through b to s Decay Modes.
- 1 Jahr und 10 Monate, Sep. 2018 - Juni 2020
Physics & Technology Faculty (High Energy Physics)
V. N. Karazin Kharkiv National University
Departmnet of Theoretical Nuclear Physics & Higher Mathematics named after A.I. Akhiezer; Thesis: Lepton Flavor Universality Violation in B to D* decays. Assessing the Theoretical Uncertainty in RD* ratios. Grade: 97.4/100, 1st in Faculty, Diploma with Honors.
- 3 Jahre und 10 Monate, Sep. 2014 - Juni 2018
Physics & Technology Faculty (Theoretical Nuclear Physics)
V. N. Karazin Kharkiv National University
Department of Theoretical Nuclear Physics & Higher Mathematics named after A.I. Akhiezer Thesis: Doppler Effect and the Stability of the NBW Mode in the Advanced Fast Reactors. Grade: 95/100, 1st in Faculty, Diploma with Honors.
Sprachen
Englisch
Fließend
Russisch
Muttersprache
Ukrainian
Muttersprache
Bulgarian
Fließend
Deutsch
Gut
XING Mitglieder mit ähnlichen Profilangaben
XING – Das Jobs-Netzwerk
Über eine Million Jobs
Entdecke mit XING genau den Job, der wirklich zu Dir passt.
Persönliche Job-Angebote
Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.
22 Mio. Mitglieder
Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.
Kostenlos profitieren
Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.