I'm working as machine learning researcher in Machine Learning Applications and Deep Learning lab at JetBrains Research since 2019.
My current research focus is on Graph ML and geometric ML in general. I'm very interested in deep investigation of these methods. Also I aim to apply machine learning to different areas, especially those related to biology, chemistry and medicine.
I have master's degree in Information Science and Computer Engineering (2017, Peter the Great Polytechnic University). Due to my high interest in life sciences, I also have additional education in Algorithmic Bioinformatics (2019, Bioinformatics Institute).
In 2014-2018 I worked as software engineer with main focus on server-side application technologies. Many of the projects were related to life science domain: inventory management system, distributed systems for bioinformatics computations, bioinformatics tools optimization etc.
Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival
Lukashina, N.; Williams, M.J.; Kartysheva, E.; Virko, E.; Kudłak, B.; Fredriksson, R.; Spjuth, O.; Schiöth, H.B.
Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation
Nina Lukashina, Alisa Alenicheva, Elizaveta Vlasova, Artem Kondiukov, Aigul Khakimova, Emil Magerramov, Nikita Churikov, Aleksei Shpilman