Dr. Igor POLTAVSKYI

Igor Poltavskyi is a Research Scientist affiliated with the University of Luxembourg since 2016. He leads a dynamic team of Ph.D. and postdoctoral researchers within the Theoretical Chemical Physics group.

Igor’s research focuses on the development of advanced atomistic simulation techniques, integrating quantum mechanics, machine learning, and statistical physics to model complex chemical and physical systems under realistic conditions.

Igor is actively involved in teaching at both Bachelor and Master levels. He designed and teaches the Introduction to Machine Learning Methods and Data Mining course in the Master of Data Science program and has co-taught courses in Computational Methods and Classical Mechanics. He also supervises Master’s and Ph.D. students.

He co-developed widely used open-source software tools (i-PI, sGDML, FFAST) and contributes to the broader scientific community through participation in major conferences (APS, DPG, Psi-k, CECAM) and workshops. He serves as a reviewer for high-impact journals (e.g., Nat. Commun., Chem. Sci.) and funding agencies such as ERC, CSCS, and the Novo Nordisk Foundation.

• Research Scientist, University of Luxembourg, Department of Physics and Materials (2020–Now)
• Postdoctoral Fellow, University of Luxembourg (2016–2020)
• Postdoctoral Fellow, Fritz Haber Institute, Max Planck Society, Germany (2013–2016)
• Postdoctoral Fellow, Pohang University of Science and Technology, South Korea (2012–2013)
• Junior Research Associate, B. Verkin ILTPE of NASU, Ukraine (2009–2012)

• Ph.D., Theoretical Physics, B. Verkin ILTPE of NASU, Ukraine (2009)
• M.S., Radiophysics and Electronics, V. N. Karazin Kharkiv National University, Ukraine (2003)
• B.A., Theoretical Radiophysics, V. N. Karazin Kharkiv National University, Ukraine (2002)