Curriculum Vitae (Marin Bukov)
A pdf version of my extended CV as of July 1, 2021 is available here.
Research Interests
Quantum Condensed Matter Physics, Quantum Simulation, Quantum Optics
- Quantum and classical dynamics of out-of-equilibrium many-body systems
- Phase transitions and critical phenomena
- Interplay between condensed matter systems and ultracold atomic gases
Machine Learning, Computational Physics
- Reinforcement learning applications to physics
- Neural networks, deep learning
- Interplay between machine learning and condensed matter / statistical physics
Professional Experience
R3 Established Researcher (2020-), Faculty of Physics, Sofia University, Bulgaria
- Marie Sklodowska-Curie fellow
Postdoctoral Researcher, Physics (2017-2020), University of California, Berkeley, USA
- Gordon and Betty Moore independent postdoctoral fellow, Condensed Matter Theory Center
- supervisors: Norman Yao and Ehud Altman
Education
Ph.D., Physics (2017), Boston University, USA
- dissertation: Floquet Engineering in Periodically Driven Closed Quantum Systems: from Dynamical Localisation to Ultracold Topological Matter
- advisor: Anatoli Polkovnikov
M.Sc., Theoretical and Mathematical Physics (2013), Ludwig-Maximilians-Universität and Technische Universität München, Germany
- thesis: Bose-Fermi Mixtures: a Mean-Field Study [publication: Phys. Rev. B 89, 094502 (2014)]
- first advisor: Lode Pollet
- second advisor: Immanuel Bloch
B.Sc., Mathematics (2011), Ludwig-Maximilians-Universität München, Germany
- thesis: Rigorous Approach to Bose-Einstein Condensation
- advisor: László Erdős
B.Sc., Physics (2011), Ludwig-Maximilians-Universität München, Germany
- thesis: Periodically Driven Luttinger Liquids [publication: Phys. Rev. B 86, 054304 (2012)]
- advisor: Stefan Kehrein
Abitur (2008) [allgemeine Hochschulreife], Bildungsinländer, Deutsche Abteilung, Galabov Gymnasium Sofia, Bulgaria
Matura (2008) [general university entrance examinations], First German High School Sofia, Bulgaria
Copyright © 2017 Marin Bukov