Miru Lee

Miru Lee

AI researcher | Dr. rer. nat. in Phyiscs

PerfectPattern GmbH

About

Can seemingly random noise in data have any meaningful information? You would be surprised to know how many insights we can extract out of random fluctuations.

I develop models to understand stochastic systems where constituting elements move randomly with some global and/or local trends. I predict such systems’ behaviors based on their statistical properties.

Currently working at a SaaS company PerfectPattern as AI researcher, I’m responsible for developing and improving AI algorithms that allow clients to optimize their workflows as well as prevent catastrophic accidents.

My CV is here (last updated on 02.Jul.2022).

Interests
  • Nonequilibrium statistical physics
  • Machine learning and neural networks
  • Option pricing models
  • Analog photography
Education
  • Doctorate in Theoretical Physics, 2022

    University of Göttingen

  • MSc in Physics, 2018

    University of Stuttgart

  • BSc in Physics, 2016

    Inha University

Skills

Data analysis
Learning new subjects
Demystiyfing mathemagics

Publications

(2022). Nanoscale friction controlled by top layer thickness in [LaMnO$_3$]$_m$/[SrMnO$_3$]$_n$ superlattices. arXiv:2210.09677.

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(2022). Friction on layered media: How deep do phonons reach?. arXiv:2205.01151.

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(2021). Noncontact friction: Role of phonon damping and its nonuniversality. Physical Review B.

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(2020). The influence of motility on bacterial accumulation in a microporous channel. Soft Matter.

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(2020). Spatially resolved atomic-scale friction: Theory and simulation. Physical Review B.

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(2019). A computational model for bacterial run-and-tumble motion. The Journal of Chemical Physics.

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