Ph.D. student in Theoretical Chemistry under Paul W. Ayers supervision. By harnessing the power of deep learning, I aim to enhance our understanding of predicting properties of the molecules along with development computational methods in quantum chemistry. In addition to my theoretical work, I am actively involved in the development of open-source software tools for computational chemists and physicists
Experience
| Lead Software Developer |
QC-Devs |
2020 - Present |
Leading the development of software tools for computational chemists and physicists. |
| Scientific Software Developer |
AI4Science |
2023 - 2024 |
Implementing algorithms for quantum optimal transport and its application in quantum chemistry. |
Education
| McMaster University |
Hamilton, ON, Canada |
Ph.D. in Theoretical Chemistry |
2021-2026 |
4.0/4.0 |
| Taras Shevchenko National Univ. of Kyiv |
Kyiv, Ukraine |
Bachelor of Science in Physics and Astronomy |
2017-2021 |
97.43/100 |
