Yury Lysogorskiy

Research Group Leader at Ruhr-Universität Bochum
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Bochum, North Rhine-Westphalia, Germany, DE
Skills

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • Big Data Essentials: HDFS, MapReduce and Spark RDD
    Coursera
    Nov, 2017
    - Nov, 2024
  • Прикладные задачи анализа данных (Applied Data Analysis Problems)
    Coursera Course Certificates
    Apr, 2017
    - Nov, 2024
  • Построение выводов по данным (Conclusions on the data)
    Coursera Course Certificates
    Mar, 2017
    - Nov, 2024
  • Searching structure of data / unsupervised learning (Поиск структуры в данных)
    Coursera Course Certificates
    Feb, 2017
    - Nov, 2024
  • Supervised learning (Обучение на размеченных данных)
    Coursera Course Certificates
    Feb, 2017
    - Nov, 2024
  • Math and Python for data analysis (Математика и Python для анализа данных)
    Coursera Course Certificates
    Jan, 2017
    - Nov, 2024

Experience

  • Ruhr University Bochum
    • Germany
    • Research
    • 700 & Above Employee
    • Research Group Leader
      • Oct 2018 - Present

      Research group "DATA-DRIVEN METHODS FOR ATOMISTIC SIMULATIONS"The research group is working on the application of data-driven methods in materials science with a particular focus on the atomic scale. A major research area is the automated extraction, analysis and validation of models in materials science, with specific application to interatomic potentials. We perform high-throughput calculations of materials properties at different levels of theory, including both density functional theory and effective interatomic potentials using the pyiron computational framework, which we co-develop with the Computational Materials Design department at the Max Planck Institute for iron research.Another research area is the application of machine learning methods to large data sets, for example, from combinatorial or high-throughput methods and to provide efficient and supporting tools for materials discovery.

    • Postdoctoral Research Assistant
      • Jan 2017 - Aug 2020

      data-driven methods (machine learning)high-throughput calculations and data managementdensity functional theoryatomistic modeling and simulations

  • Kazan Federal University
    • Higher Education
    • 400 - 500 Employee
    • Postdoctoral Researcher
      • 2014 - Dec 2016

      Scientific supervisor of laboratory for computer design of new materials. Ab initio simulation, MD simulation, scientific programming (C\C++, Wolfram Mathematica).Project management for Bachelor/Master/PhD students

    • Teaching Assistant
      • Sep 2011 - Dec 2016

  • Materials Design, Inc.
    • United States
    • Software Development
    • 1 - 100 Employee
    • Researcher Internship
      • 2011 - 2011

      ab initio simulation of magnetic states in complex oxide (sodium cobaltate, Na_x Co O_2) ab initio simulation of magnetic states in complex oxide (sodium cobaltate, Na_x Co O_2)

  • Группа компаний ICL
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Junior Java Developer (internship)
      • Oct 2006 - Mar 2007

      Junior Java Developer (internship) Junior Java Developer (internship)

Education

  • Kazan Federal University
    Doctor of Philosophy (PhD), Theoretical physics
    2011 - 2013
  • ISMANS - Ecole d'ingénieurs - Institut Supérieur des Matériaux du Mans
    Engineer's degree, Materials modelling
    2010 - 2011
  • Kazan Federal University
    Master's degree, Physics
    2005 - 2011

Community

You need to have a working account to view this content. Click here to join now